Devices and methods for accelerometer-based characterization of cardiac synchrony and dyssynchrony

ABSTRACT

Systems and methods according to the invention employ an acceleration sensor to characterize the synchrony or dyssynchrony of the left ventricle. Patterns of acceleration related to myocardial contraction can be used to assess synchrony or dyssynchrony. Time-frequency transforms and coherence are derived from the acceleration. Information and numerical indices determined from the acceleration time frequency transforms and coherence can be used to find the optimal pacing location for cardiac resynchronization therapy. Similarly, the information can be used to optimize timing intervals including V to V and A to V timing.

REFERENCE TO CONTINUING APPLICATIONS

This application claims the benefit of U.S. Provisional PatentApplication Ser. No. 60/794,632, filed Apr. 24, 2006, entitled “Devicesand Methods For Accelerometer-Based Characterization of CardiacSynchrony and Dyssychrony.” This application also claims the benefit ofpriority of U.S. Provisional Patent Application Ser. No. 60/835,171,filed Aug. 1, 2006, entitled “Devices and Methods ForAccelerometer-Based Characterization of Cardiac Synchrony andDyssychrony,” and of U.S. Provisional Patent Application Ser. No.60/839,494, filed Aug. 22, 2006, entitled “Devices and Methods ForAccelerometer-Based Characterization of Cardiac Synchrony andDyssychrony.” All of the prior applications are incorporated herein byreference in their entireties.

BACKGROUND

The human heart delivers oxygenated blood to the organs of the body tosustain metabolism. The human heart has four chambers, two atria and twoventricles. The atria assist with filling of the ventricles, which pumpblood to the body and through the lungs. The right ventricle (RV) pumpsblood through the lungs to be oxygenated and the left ventricle (LV)pumps the oxygenated blood to the body.

A graph of the cardiac filling and pumping cycle and valvular events isshown in FIG. 1 a and 1 b. The cardiac LV pumping cycle (LV cycle) isdivided into two periods: diastole 52 and systole 54. Diastole 52 is thefilling period and systole 54 is the ejection period. Five differentphases of the LV cycle can be identified within the systolic anddiastolic periods: isovolumic contraction 56, ejection 58, isovolumicrelaxation 62, early diastolic filling (rapid filling) 64, and latediastolic filling (atrial contraction) 66. Mitral valve closure 68(“MVC”) occurs during isovolumic contraction and aortic valve closure 72(“AVC”) occurs during isovolumic relaxation. Also shown in the figuresare the left ventricular pressure LV Press 74, a regularelectrocardiogram ECG 76, the left ventricular end-diastolic volumeLVEDV 78, the left ventricular end-systolic volume LVESV 82, a graphdepicting heart sounds 84, the left atrial pressure LA Press 86, theaortic pressure 88, a-wave 92, c-wave 94, and v-wave 96.

Myocardial activation and systolic contraction is initiated in the atriaby a regular electrical depolarization wave that spreads from thesinoatrial node to the ventricles at a normal resting cycle of 60 to80/minute. Cardiac electrical activity can be sensed using a bodysurface electrocardiogram or ECG. The depolarization of the atria issensed as a P-wave 98 on the ECG. A delay in depolarization between theatria and ventricles occurs and is measured on the ECG as the PRinterval 102. Ventricular contraction and myocardial shortening startsat the interventricular septum and rapidly spreads to the posterior andlateral wall via the Purkinje system. Electrical depolarization thatleads to ventricular contraction is measured on the ECG by the QRScomplex 104. Following the QRS complex 104 is the T-wave 106, whichreflects ventricular repolarization.

In the normal heart, a short delay from interventricular septalcontraction to posterior-lateral contraction of approximately 20-40 msoccurs such that the lateral free wall is typically the first region ofthe heart to undergo shortening. Aortic valve closure signifies the endof the ejection phase of systole and the start of diastole. Diastoleresults in filling of the ventricles with blood and lengthening of themyocardium. In the normal heart diastole is typically longer thansystole with the ratio dependent on heart rate.

LV myocardial motion is complex and includes both vibration anddisplacement (lengthening and shortening). Displacement occurs primarilyalong the longitudinal axis (base to apex), but there is also someradial displacement as well as clockwise and counterclockwise rotation.Displacement of the entire heart can also be caused by respiration.Superimposed on the large amplitude displacement motion is low amplitudevibrational motion related to isovolumic contraction/relaxation, valveclosure, and valve pathologies such as mitral regurgitation.

The origin of LV displacement motion can be traced to the specificorientation and arrangement of muscle fibers in the myocardium.Vibrational motion of the LV is thought to be caused by acceleration anddeceleration of the blood and turbulent blood flow. Studies ofmyocardial architecture have shown that the fibers are situatedtransverse and diagonal in a helical pattern. Transverse circumferentialfibers are present in the base and midwall of the myocardium and produceradial narrowing of the ventricle. Systole starts with the developmentof tension primarily in the circumferential fibers, which stiffens andnarrows the ventricle, and causes primarily radial displacement. Thestart of systole coincides with the isovolumic contraction phase of theLV cycle and also causes a vibrational motion thought to be related todirectional changes of the blood and the accompanyingacceleration/deceleration. Mitral valve closure also occurs during thisisovolumic contraction period. Circumferential shortening is followed bylongitudinal-diagonal fiber shortening resulting in primarilylongitudinal displacement of the LV (base toward the apex) and ejectionof blood. The action of these fibers also creates a rotation of theheart. This coincides with the ejection phase of the LV cycle. Mitralregurgitation is prominent during this ejection phase. Followingejection, lengthening and rotation in the opposite direction begins, andthe isovolumic relaxation phase of the LV cycle occurs. Isovolumicrelaxation is also thought to be associated with vibrational motionrelated to the acceleration/deceleration of the blood. Aortic valveclosure also occurs during this phase. Early rapid filling of the LVwith blood, as well as late filling, causes radial and longitudinallengthening of the LV.

This motion of the ventricular myocardium and the LV cycle phases can bemeasured at the mitral annulus which is displaced radially andlongitudinally. In addition, some rotation and the vibrational motion istransmitted at the annulus. Longitudinal displacement is an integralpart of the global contractile function and has a good correlation withthe overall ejection performance and diastolic filling performance ofthe ventricle.

Heart failure or cardiomyopathy is a medical syndrome characterized bydeterioration of cardiac pumping performance. The primary deteriorationis a progressive loss of heart muscle compliance and contractility. Lossof pump function leads to cardiac dilation, blood volume overload,pulmonary congestion, and ultimately organ failure. Symptoms of heartfailure include orthopnea, dyspnea on exertion, cough, fatigue, andfluid retention. Many heart failure patients suffer from functionalmitral regurgitation that can worsen with exercise and contributes tothe progression of the disease. Lastly, patients with cardiomyopathy areprone to rhythm disturbances such as interventricular andintraventricular conduction delays leading to mechanical dyssynchrony,and tachyarrhythmias.

In cardiac pathology, such as heart failure, electrical conductionbetween atria and ventricles can be delayed excessively such thatpumping function of the heart deteriorates. In addition, conductiondelays in the spread of ventricular depolarization thwart the uniformspread of ventricular contraction and result in asynchronous ventricularshortening and a deterioration of performance. Some of the ventriculardepolarization delays are due to abnormalities of the Purkinje systemand are referred to as left or right bundle branch blocks (LBBB orRBBB). Bundle branch blocks are manifested by a wide QRS complex on theECG.

A prolonged QRS, often manifested as an LBBB in patients withcardiomyopathy, is associated with poor prognosis. In several largeclinical trials, lengthening of the QRS was independently associatedwith poor survival. In addition, several deleterious hemodynamicconsequences arise in the presence of bundle branch block includingshortening of the diastolic filling period, aggravation of mitralregurgitation, and abnormal systolic wall motion. The overall result isa typical and sometimes dramatic deterioration in cardiac performance.

Most therapies to improve cardiomyopathy are implemented and tailoredempirically, or indirectly, based on patient symptoms, with little or noinformation on the mechanical optimization of cardiac pumping. Inpractice, assessment of mechanical pumping properties is difficult. Someinformation can be obtained by inserting catheters into the chambers ofthe heart, but these catheters cannot be left in chronically and it isimpractical to subject patients to repeated procedures.

Objectives of cardiomyopathy therapy are to increase contractility,reduce afterload, i.e., the pressure against which the LV must pump,control blood and body water volume, blunt neurohumoral activation,improve cardiac compliance, increase ejection fraction, and reducemitral regurgitation. Drugs, medical devices, and surgical treatmentsare employed to accomplish these goals and include diuretic drugs, bloodpressure drugs, beta blocker drugs, cardiac pacing and resynchronizationwith or without tachyarrhythmia therapy, coronary artery bypassgrafting, and heart transplantation.

Pacemaker therapy to treat heart failure is an established medicaltherapy. This therapy is employed to correct the dyssynchronousmechanical activity that occurs in heart failure by controlling theelectrical activity of the heart. This form of pacing therapy is oftenreferred to as cardiac resynchronization therapy or CRT. Dual chamberpacing (right atrium and right ventricle) to improve atrioventricularsynchrony is a form of pacemaker therapy. Biventricular pacing is anewer approach that can improve cardiac function and mortality.Tachyarrhythmia and defibrillation therapy are also incorporated intothe pacing therapy as heart failure patients often have problems withtachyarrhythmia. An experimental implantable pacing therapy forcardiomyopathy is cardiac contractility modulation (“CCM”) in which avoltage potential or current is applied to the myocardium during thetissue's refractory period. This current improves myocardialcontractility.

CRT is achieved by pacing (inducing myocardial activation) in the RV andLV, and has assumed prominence in patients with advanced heart failureand refractory symptoms. Specific candidates include patients with aprolonged QRS duration >120 milliseconds and/or LBBB. In newerapproaches the RV and LV pacing is controlled and may occur at differentintervals. LV free wall pacing only is also being explored.

Most clinical trials have demonstrated that about two-thirds of patientswill have a clinical response to CRT as long as optimal pharmacologictherapy is maintained. Clinical responses include improvement in NewYork Heart Association functional class, improved exercise capacity, adecreased need for diuretic, reduced hospitalization for heart failuremanagement, and the like. Unfortunately, about one-third of patients donot respond, and approximately 15% of patients can actually have aworsened clinical outcome.

In biventricular pacing or CRT, cardiac leads are placed in the rightatrium (RA), the RV, and LV coronary veins via the coronary sinus. Theleads have electrodes that can sense cardiac electrical activity andstimulate contraction in the myocardium. The leads are connected to ahermetically sealed, battery powered, programmable pulse generator andsensor/data storage device, termed here an “IPG” that is implantedsubcutaneously.

Crucial to successful CRT is deployment of the left ventricular lead.This is typically accomplished by passing the LV lead through thecoronary sinus into one of its venous tributaries overlying theepicardial left ventricular surface. Conventional pacing target sitesare the posterior and lateral myocardium. In principle, the target siteshould be the segment of latest regional myocardial contraction relativeto the QRS or some other measurement of the start of ventricularcontraction. Although this is predicted to be in the posterior-lateralregion, the actual site tends to be rather variable and difficult topredict in the individual patient. One other criterion for employing CRTis the identification of myocardial regions that contract in thepost-systolic period, or in the period after aortic valve closure. Suchregions are sometimes referred to as myocardial contractility reserve,because these regions of myocardium can add or contribute to systolicejection if they can be forced to contract during systole. Pacing ofregions can induce contraction and shortening of these late-contractingregions so that they contribute to systole. Consequently, any patientwith a region of myocardium that contracts and deforms in thepost-systolic period are candidates for CRT, regardless of the QRSinterval.

Tissue Doppler and its corresponding myocardial velocity measurementhave been used to measure various mechanical properties of ventriclesand atria. Characterization of systolic and diastolic function can beperformed. In addition, tissue Doppler has been employed in theassessment of mitral regurgitation and ischemia.

Tissue Doppler velocity measurements can detect tissue velocity changes,but these changes do not necessarily correlate with ventricularshortening which is required for cardiac pumping during systole. In anasynchronous ventricle, contraction may not be accompanied by shorteningdue to the effects of earlier-contracting segments on late-contractingsegments. Newer techniques that employ measurements of cardiac strainand shortening are able to assess cardiac motion.

General strategies for LV lead placement can be developed with tissueDoppler imaging, a sophisticated echocardiographic technique, whichallows visualization of individual myocardial segments and theircontraction patterns, and allows visualization and analysis of segmentalwall motion and velocity. It has been observed that up to 50% ofpatients may have the left ventricular lead, when placed in aconventional fashion pacing in a zone that does not correspond to thebest myocardial contraction segment, i.e. there is a mismatch betweenthe desired target and the actual target. Moreover, it is only thosepatients in whom a match occurred between the paced segment and thetarget zone where a clinical response was observed (only in about 30-50%of patients). This may explain why there is a lower than desiredclinical response rate to CRT.

To improve CRT there is not only the need to identify target zones forpacing, but also to identify suitable patients. Further, a substantialpercentage of patients with a normal or only slightly-widened QRSinterval may also be candidates for CRT. Tissue Doppler scans can besuitable to measure ventricular dyssynchrony and therefore may be ableto identify appropriate patients and optimize therapy. One measure ofdyssynchrony identified with tissue Doppler is the assessment of peakvelocity delays relative to the QRS onset of different myocardialsegments and the standard deviation of these delays. However, tissueDoppler imaging requires specialists to perform the scan and can only beperformed during a clinical visit. Thus, continuous or daily monitoringis not possible with this technique. Moreover, the complexity of thetechnique makes it too cumbersome to use during the LV lead placement.

Motion of the heart and LV, both displacement and vibration, can bemeasured directly with an acceleration sensor. This motion can be usedto characterize the LV cycle phases. Integration of the accelerationmeasurements during displacement provides myocardial velocity data thatmay closely parallel tissue Doppler imaging velocity measurements.Double mathematical integration of the acceleration sensor signal wouldallow characterization of the distance of displacement. Thus, anacceleration sensor-based system could be used to identify targetregions of myocardium for pacing, optimize and characterize the regionaland global LV response to pacing of the target region, and identifycandidates for CRT, including those without a widened QRS. Since LVmotion and cardiac pathologies such as mitral regurgitation occur atdifferent frequencies, e.g., higher frequency vibration and lowerfrequency displacement, acceleration signals at different frequenciesare ascertained. In this way, the complete LV cardiac cycle and cardiacpathologies can be characterized and monitored for changes due topacing. An appropriately designed implantable myocardial accelerationsensing device (IAD) could monitor global and regional cardiac functionlong term, and would allow optimization of many treatment aspects ofheart failure, including pharmacologic therapy. This monitoring mayoccur without the need for specialized personnel and scanning. Moreover,the appropriately designed system would allow characterization of thecomplete cardiac cycle (systole and diastole) and global monitoring ofcardiac mechanical function.

Accelerometers have been used in pacemaker IPGs for rate controlpurposes (U.S. Pat. No. 5,383,473 and U.S. Pat. No. 5,425,750). A sensorimplanted in the heart mass for monitoring heart function by monitoringthe momentum or velocity of the heart mass is generally disclosed inU.S. Pat. No. 5,454,838. A catheter for insertion into the ventricle formonitoring cardiac contractility having an acceleration transducer at orapproximately at the catheter tip is generally disclosed in U.S. Pat.No. 6,077,236. Implantable leads incorporating accelerometer-basedcardiac wall motion sensors and for arrhythmia discrimination aregenerally disclosed in U.S. Pat. Nos. 5,628,777 and 6,002,963.Accelerometers used for discrimination of various cardiac arrhythmiasare also generally disclosed in U.S. Pat. No. 5,268,777. Additionally,other disclosures have proposed the use of an accelerometer to optimizepacing timing, such as AV delay/interval and interventricular (V-V)timing (U.S. Pat. Nos. 5,549,650; 6,542,775; 5,549,650, 5,540,727 andU.S. Applications 2003/0105496 A1, 2004/0172079 A1, 2004/0172078 A1, and2005/0027320 A1).

In addition to employing sensors for monitoring therapy forcardiomyopathy, acceleration sensors have been previously disclosed formeasuring the amplitude of acceleration signals during isovolumiccontraction. Using a uniaxial accelerometer integrated into a rightventricular (RV) pacing lead, work done by Plicchi (“An implantableintracardiac accelerometer for monitoring myocardial contractility”,PACE 1996, 19:2066-2071) and others indicates that measurement of thepeak amplitude of acceleration signals during the ICP correlatesventricular contractility and the rate of rise of ventricular pressure.Prior patent publications also disclose the measurement of peakamplitude acceleration signals to characterize contractility. Forexample, Chinchoy [US 2004/0172079A1 and US 2004/0172078 A1] disclosesthe measurement of peak amplitude of the acceleration signal during theICP from the LV epicardium to optimize the atrioventricular (“AV”) delayand interventricular (“VV”) timing interval of a CRT device and tomonitor long-term LV function. Yu and others disclose the measurement ofthe phase shift in the peak amplitude of acceleration signals derivedfrom the LV and RV to optimize AV and VV interval timing of a CRTdevice.

Accurate measurement of the peak amplitude of an acceleration signalusing an acceleration sensor as discussed in prior disclosures, may beproblematic due to variables that can affect the signal. One variable isthe influence of the acceleration signal related to the gravitationalfield of the earth. This acceleration signal will change with the angleof tilt of the sensor relative to the gravitational acceleration vector.Thus, depending on the orientation of the sensor in the heart, theacceleration signal due to earth's gravity may increase or decrease thepeak amplitude. Another factor which may affect the peak amplitude isthe relative motion of the lead or catheter type device to which theacceleration sensor is affixed. Relative motion of the accelerationsensor device (e.g., a catheter LV lead) in the direction ofacceleration may increase the signal amplitude and, if counter to thedirection of myocardial acceleration, may reduce the peak amplitude.Further, if the axis of the acceleration sensor is not parallel to theaxis of motion, the amplitude of the signal will also be reduced.Lastly, the motion of the heart due to respiration may affect theaccuracy of the peak amplitude.

Further in the disclosures of Chinchoy and Yu [US 2003/0104596 A1], itis not clear if the sensor is measuring vibrational or displacementmotion of the heart. Measurement of these different motion typesrequires signal acquisition in the appropriate frequency band; however,these prior disclosures do not indicate the acquired accelerationsignal's frequency band. Chinchoy indicates that the isovolumiccontraction phase analyzed from the acceleration signal correlates withthe S1 peak of myocardial Tissue Doppler velocity curve. However, thiscurve is a measurement of the displacement motion of the LV andtherefore does not contain the vibrational component that may be moreindicative of LV function. These above disclosures do not provide formeasurement of pathologic vibrational motion, such as mitralregurgitation or the third/fourth heart sounds, and monitoring changesthat may be indicative of improved LV function. Lastly, the abovedisclosures do not disclose a system and method for identifying targetLV pacing sites for CRT through appropriate analysis of the ICP.

SUMMARY OF THE INVENTION

None of the above disclosures discloses using acceleration sensors tocharacterize all components of LV motion, displacement and vibration,and to use this motion data to characterize the different phases of theLV cycle for analyzing LV function. These disclosures do not provide ameans for separating out the displacement and vibrational components ofLV motion, which occur at the same time, through different frequencysensing or filtering and analysis. Prior disclosures do not providedevices or methods for identifying the optimal myocardial pacing zone orregion in the left or right ventricle for CRT, such as measuring theonset of motion relative to the onset of the QRS or isovolumiccontraction or mitral valve closure. Prior disclosures do not provide amethod for multiple catheter repositionings in the LV or coronary sinusor great cardiac vein to map the motion of the LV for identifying theoptimal pacing region. Prior disclosures do not describe characterizingthe response to pacing of a target region by measuring parametersindicative of r LV function (e.g., myocardial performance index or QRSonset to aortic valve closure). Prior disclosures also do not disclosemeasuring cardiac pathologies such as mitral regurgitation, which may besensed as vibration motion at frequencies greater than about 150 Hz.Prior disclosures do not disclose a means for optimizing completecardiomyopathy therapy, including drugs and devices, through the use ofimplantable acceleration devices. Prior disclosures do not provide ameans for zeroing out gravity effects and tilt of the sensor. Priordisclosures do not define the use of capacitive acceleration sensorsthat integrate an inductive coil for wireless powering and datatransmission.

Rather, prior disclosures typically describe a single accelerationsensor preferably disposed in the tip of an implantable pacing lead. Forexample, a single accelerometer is incorporated into the RV pacing leadto assess RV systolic activity and correlate the readings with RV dP/dt(“An implantable intracardiac accelerometer for monitoring myocardialcontractility”, PACE 1996, 19:2066-2071). The sensor is designed todetect only signals related to isovolumic contraction, and not themotion related to displacement or valvular pathologies. In anotherdisclosure, an accelerometer is incorporated into an LV pacing lead foroptimization of CRT timing intervals (US Application 2004/0172079 A1).This prior disclosure proposes to sense LV myocardial accelerationduring isovolumic contraction and use this information to optimize theatrioventricular delay and the interventricular delay pacing signals.There is no disclosure on the use of an acceleration sensor device toidentify target pacing regions and characterize the LV functionalresponse to pacing. There is no disclosure on a means for characterizingboth the displacement and vibration motion occurring at differentfrequencies. Consequently, the disclosure does not provide a way tomonitor information on phases of the LV cycle that characterize LVfunction such as, displacement related to ejection, filling, afterload,volume status, and preload, nor can the same characterize vibrationrelated to mitral regurgitation. Additionally, no disclosure is providedfor integrating the acceleration signal to yield LV displacementvelocity and distance measurements, which may provide additionalinformation on LV contractile function. Also, neither disclosure nordevice design is provided that would allow characterization ofmyocardial strain and strain rate.

In U.S. Patent Application 2003/015496 A1 single accelerometers areremovably disposed at the tip of CRT leads in the LV, RV and RA. Atemporal phase shift between two different sensors is proposed tooptimize CRT interventricular timing. Similar to the above, thisdisclosure generally describes interventricular interval optimizationand does not provide a means for intraventricular target pacing regionidentification. Therefore it lacks disclosure on any means foridentifying LV pacing region, means for identifying LV response topacing, means for identifying LV dyssynchrony irrespective of QRS width,and characterization of LV motion and the phases of the LV cycle.Further, there is no disclosure for multi sensor integration into thesame lead catheter, guidewire, or guide catheter/catheter system, andanalysis of acceleration at different frequencies.

In one embodiment, the invention employs an acceleration sensor tocharacterize displacement and vibrational LV motion, and uses thismotion data to characterize the different phases of the LV cycle foranalyzing LV function. In another embodiment, the invention measuresacceleration in at least two different frequencies with either two ormore sensors or two or more frequency filters to characterize LV motion.In yet another embodiment, the invention senses high frequency (greaterthan about 150 Hz) low amplitude motion related to valvular pathology(e.g., mitral regurgitation), mid frequency (between about 20 Hz and 150Hz) lower amplitude motion related to isovolumic contraction/relaxationand valve closure, and low frequency (less than about 20 Hz) highamplitude motion signals related to displacement of the LV occurringduring the ejection phase and early and late diastole. In still afurther embodiment, the invention identifies a target pacing region orregions in the LV or RV using an acceleration sensor by localizingregions of late onset of motion relative to the QRS, or isovolumiccontraction, or mitral valve closure, or by pacing of target regions andmeasuring LV function in response to pacing. In another embodiment, theinvention measures myocardial motion with an accelerometer relative tothe onset of isovolumic relaxation or aortic valve closure to determinecontractile reserve and/or the presence of post-systolic shortening. Inyet another embodiment, the invention identifies target pacing regionsin the LV using an acceleration sensor by pacing different regions andmeasuring the regional and/or global LV functional response to pacing.In still a further embodiment, the invention uses an acceleration sensorto measure LV function by sensing changes in the time interval length ofthe LV cardiac cycle phases (isovolumic contraction/relaxation,ejection, and/or filling); changes in mitral regurgitation signalamplitude and duration; and changes in peak amplitude and slope ofisovolumic contraction, isovolumic relaxation, and ejection phases; andfrequency changes of the isovolumic contraction and relaxation phases.In another embodiment, the invention may use an acceleration sensor toidentify patients with LV dyssynchrony or asynchrony and a normal QRSwidth (90-120 ms), a modestly increased QRS width (120 to 150 ms), andwide QRS or LBBB pattern (QRS>150 ms). In yet another embodiment, theinvention facilitates identification of the coronary ostium and LV veinbranches into the coronary sinus for cannulation with guidewires orcatheters. In a still further embodiment, the invention provides thephysician with data from acceleration sensing for management of optimalpharmacologic treatment. In yet another embodiment, the inventionprovides a wireless acceleration sensing medical device and system forassessing LV motion and function.

Embodiments of the invention provide an implantable or non-implantableacceleration sensor device for measuring LV motion and characterizing LVfunction. An implantable myocardial acceleration sensing system (“IAD”)includes at least one acceleration sensor, a data acquisition andprocessing device, and an electromagnetic, e.g., RF, communicationdevice. The system may or may not have an internal battery. In oneembodiment, an IAD is integrated into the pacing lead of a CRT deviceand can operate independently of the CRT IPG. In another embodiment, anIAD is used without a CRT to monitor heart failure. In this embodiment,at least one sensor is incorporated into an endovascular catheter thatcan be placed in the epicardial venous system of the LV.

In one illustrative system, the accelerometer sensors aremicro-electromechanically (“MEM”s)-based to allow miniaturization,low-power consumption, and multiple-axis sensing. The sensors areconductively attached to the subcutaneously-implanted data acquisitionand processing device, which is capable of RF telemetry communicationand data transfer. The IAD monitors both vibrational and displacement LVmotion during systole and diastole in at least the longitudinal axis.The IAD may also monitor LV acceleration in at least one location nearthe mitral annulus.

In another illustrative system, the IAD is integrated with a CRT devicewith a multi-electrode LV pacing lead. The IAD monitors LV motion andcan dynamically adjust the electrodes that are used to pace. Similarly,the IAD can be integrated with or used with a CCM device to help monitormechanical function and optimize therapy.

The IAD may perform data analysis algorithms that provide useful outputfor optimizing cardiomyopathy therapy. The output can be accessed by themultitude of physicians that are involved in cardiomyopathy management.These physicians include primary care physicians, internists,cardiologists, electrophysiologists, and cardiac surgeons. Statisticalanalysis of long-term data can identify periods in which cardiacfunction deviated significantly from baseline values or how the functionchanged with therapy.

IADs may also be implanted in the context of other cardiac proceduressuch as endovascular coronary procedures, electrophysiology procedures,coronary artery bypass grafting, and heart transplants. Thus, thepatient is not subjected to an additional procedure. Integration of anIAD with a CRT or CRT pacing lead similarly offers the opportunity tooptimize therapy and response in the context of a known and regularlyperformed procedure for cardiomyopathy.

In another embodiment, the sensor is a radiofrequency (“RF”) MEMsaccelerometer that incorporates coils that can inductively power orcharge the sensor and transmit the data. Such an RF sensor provides longterm, batteryless, wireless monitoring. Data from the wireless RF sensormay be acquired using an external antenna device that wirelessly couplesto the sensor by directing electromagnetic energy of the appropriatefrequency toward the sensor for inductive powering and/or datatransmission. The antenna device is connected to amicroprocessor-controlled display device that processes and stores themyocardial acceleration data for LV motion and therapy monitoring andoptimization.

In another embodiment, one or more RF sensors can be directly implantedinto or on the heart for LV motion or therapy monitoring or both.Alternatively, one or more RF sensors can be integrated into variousdevices that are implanted into the heart. In a further embodiment, oneor more RF sensors are integrated into an endovascular catheter that canbe inserted into the chambers or vessels of the heart. In anotherembodiment, one or more RF sensors are incorporated into a coronarystent. In still another embodiment, one or more RF sensors areincorporated into a cardiac pacing lead.

In still another embodiment, an LV motion mapping system is disclosedwhich can sense LV motion for optimizing CRT lead placement. The systemmay include an LV venous catheter, LV lead, guidewire, or guidecatheter/catheter system with an acceleration sensor, connected to asignal processing and powering module, and a graphical display. Theacceleration sensing catheter may be moved to different locations in theLV and used to identify regions of late systolic or post-systolic motionrelative to a reference point such as the QRS, valve closures, orisovolumic contraction/relaxation. Alternatively, a pacing catheter orguidewire may be moved to different LV locations and an accelerationsensing catheter near the mitral annulus may measure changes in LVfunction due to pacing. Both techniques may be used to optimize CRT LVlead implantation. The mapping system may also be used to determineoptimal RV pacing sites which may mitigate the need for placing an LVCRT lead.

Signals related to LV function include: earlier onset of motion relativeto the QRS; the interval time length of the LV cycle includingisovolumic contraction and relaxation, ejection, and filling; degree ofmitral regurgitation; peaks of isovolumic contraction and relaxation;and the myocardial performance index. One or more sensors or one or morefilters or both may be used to measure displacement or vibrational LVmotion and the LV cycle phases, as well as valvular pathology.

Monitoring changes in the frequency of the vibrational component of theICP may be more practical and accurate than measuring amplitude changesfor assessing cardiac function. Similarly, monitoring the time intervalof this phase may prove more practical and accurate. Such an approachwould reduce the sensitivity of the acceleration signal measurement andthe interpretation of this measurement to the effects of gravity, sensoraxis orientation, relative motion of the sensing device to which thesensor is affixed, and translational motion of the heart.

In this disclosure, systems characterize cardiac function using anacceleration sensor to acquire and analyze the frequency dynamicsassociated with the isovolumic contraction phase (“ICP”). Thisinformation can be used to characterize heart function; optimize therapyfor cardiomyopathy, including CRT therapy (including pacing intervalsand required pharmacologic therapy); and to optimize CCM therapy. Inaddition, this information can be used to identify target pacing regionsfor CRT lead placement. Lastly, but not exhaustively, analyzing thefrequency dynamics can be used to characterize pathologic heartvibrational motion, such as mitral regurgitation and the third or fourthheart sound, and the response of this motion to therapy forcardiomyopathy.

The system uses an acceleration sensor to characterize the frequencydynamics of the isovolumic contraction phase as it relates tocontractility and ventricular function. In addition the system measurespathologic heart vibrations such as mitral regurgitation and thethird/fourth heart sounds and the effect of therapy on these signals.The sensor is placed into the ventricular chambers, onto the ventricularepicardium (e.g. LV), into the ventricular veins (e.g. the coronarysinus, great cardiac veins, or tributaries of this vein), or into theesophagus along the posterior side of the heart. The sensor can beintegrated into an LV lead for CRT or CCM therapy for monitoring LVfunction. The sensor may also be incorporated into a catheter system foridentifying target CRT pacing regions. The sensor may also be wirelessand integrate into an implantable device (e.g. a stent) for long termmonitoring of cardiac function.

BRIEF DESCRIPTION OF THE DRAWINGS

FIGS. 1A and 1B show graphs depicting various parameters of the cardiacpumping and ECG cycle.

FIG. 2 shows a drawing of an acceleration sensor mounted to a coronarystent.

FIG. 3 shows placement during use of the sensor and stent of FIG. 2.

FIG. 4 shows an alternative configuration of the sensor and stent, inwhich the same are conductively coupled to an LAD.

FIG. 5 shows a schematic of a system including a batteryless wirelessacceleration sensor, an antenna wand, and a data acquisition andprocessing system.

FIG. 6 shows a stent for the coronary sinus with an integral inductivecoil and an acceleration sensor.

FIG. 7 shows an alternate coiled LV lead design with enhancedflexibility.

FIG. 8 shows an IAD device for long-term monitoring of LV mechanicalperformance.

FIG. 9 shows an IAD integrated into an LV CRT pacing lead.

FIG. 10 shows an implantable LV lead with a sensor wire disposed suchthat it may be easily positioned at the mitral annulus edge.

FIG. 11 shows a cross-sectional view of the lead of FIG. 10.

FIG. 12 shows the lead of FIG. 10 in a bent position, showing inparticular the extension of the sensor.

FIG. 13 shows an implantable LV lead with a sensor disposed on theoutside of the LV lead.

FIG. 14 shows the lead of FIG. 13 when positioned partially in thecoronary sinus.

FIG. 15 shows a CRT acceleration sensing and control system.

FIG. 16 shows a flowchart of a data processing algorithm.

FIG. 17 shows a graph of velocity measured at the posterior-lateral edgeof the mitral annulus.

FIG. 18 shows a representation of long-term monitoring and therapyoptimization.

FIG. 19 shows the orientation of systolic and diastolic displacement aswell as measurement of the displacement length.

FIG. 20(A)-(C) show an assessment of LV size for acute response to CRTand long-term monitoring.

FIG. 21 shows positioning of a catheter employing multiple sensor pairsin the LV vein.

FIG. 22 shows a graph indicating location of a mapping catheter as wellas sensors in the LV.

FIG. 23 shows differing shortening or displacement patterns in variousregions of the heart.

FIG. 24 shows a method for mapping the LV for CRT LV lead placement.

FIG. 25 shows myocardial motion mapping, display output, and targetpacing identification.

FIG. 26 shows optimization of the pacing capture threshold.

FIG. 27 shows a multi-sensor multi-electrode motion mapping cathetersystem.

FIG. 28 shows a more detailed view of the system of FIG. 27.

FIG. 29 shows acceleration signals used to identify regions of latedeformation and for assessing various other variables related toperformance such as MPI, IVC time interval, peak IVC height, etc.

FIG. 30 shows an alternative mapping strategy involving multiplecatheter repositionings.

FIG. 31 shows a roving pacing guide wire device and acceleration sensingcatheter for target pacing region identification as well as forcharacterizing the changes in LV function due to pacing.

FIG. 32 shows a guide catheter that may be used with the system of FIG.31.

FIG. 33 shows a system that may employ the guide wire of FIG. 31 or theguide catheter of FIG. 32.

FIG. 34 shows a schematic diagram of a system according to an embodimentof the present invention.

FIGS. 35-39 show a system for identification of a target pacing regionand for optimizing and characterizing the pacing response.

FIGS. 40(A) and (B) show guide catheter acceleration sensor systems fordetermining valve closure with an LV lead acceleration sensor fordetermining myocardial motion via differential frequency processing.

FIGS. 41-44 show a mapping system for optimizing and identifying targetpacing regions.

FIGS. 45-46 shows a system for wire attachment to a sensor chip whichmay be employed in the construction of a sensing catheter.

FIG. 47 shows a circuit diagram that may be employed in embodiments ofthe invention.

FIG. 48 shows a printed circuit board layout that may be employed inembodiments of the invention.

FIG. 49 shows a graph depicting various parameters of the cardiacpumping and ECG cycle.

FIG. 50 shows a graph depicting the correlation of peak frequency duringthe isovolumic contraction phase and the change in pressure rise in theleft ventricle (dP/dt).

FIG. 51 shows vibrational acceleration signals from the epicardialsurface of the left ventricle during isovolumic contraction, as measuredwith an accelerometer.

FIG. 52 (A)-(D) shows a roving pacing guide wire device andacceleration-sensing catheter system for target pacing regionidentification and for characterizing the changes in LV function due topacing.

FIG. 53 shows improved myocardial performance post-stimulation asdetermined by an increase in the peak frequency of the isovolumiccontraction phase and a shortening of the time interval of theisovolumic contraction phase.

FIG. 54 shows myocardial motion mapping, display output, and targetpacing identification.

FIGS. 55 (A)-(C) show a subpectoral or subcutaneous implantableacceleration sensor with a wireless communications capability formonitoring S1, S2, S3, and S4 and murmur-related heart sounds.

FIG. 56 shows a graph indicating how the proper placement of an LV leadcan be predicted using methods and devices according to embodiments ofthe invention.

FIG. 57 shows a graph demonstrating how information from theacceleration sensor can be employed to develop a predictive algorithmfor determining CRT response.

FIG. 58 shows a representative dyssynchronous contraction patternmeasured from a 3-axis acceleration sensor placed in the coronary sinus.

FIGS. 59 and 60 show the power spectrum of the composite accelerationsignal.

FIGS. 61 A, B, and C show each individual axis from the accelerationsensor of FIG. 57.

FIGS. 62 A, B, and C show each individual axis from the pattern of FIG.58.

FIG. 63 shows each individual channel from the pattern of FIG. 59.

FIG. 64 shows each individual channel from the pattern of FIG. 60.

FIG. 65 illustrates synchronous contraction (normal sinus rhythm).

FIG. 66 illustrates dyssynchronous contraction.

FIG. 67 illustrates inter heart beat coherence synchronous contraction(normal sinus rhythm): Coherence is present at greater than 100 Hzduring the systole or isovolumic contraction phase. Time to peakcoherence is approximately 12 ms. The dashed line indicates the onset ofventricular electrical activity.

FIG. 68 illustrates inter heart beat coherence dyssynchronouscontraction showing loss of inter heart beat coherence aboveapproximately 100 Hz for systole or immediately after onset ofventricular electrical activity or the isovolumic contraction phase.

DETAILED DESCRIPTION

Acceleration sensors are well-suited for measuring both vibration anddisplacement motions. They can be oriented along an appropriate axis tomaximize the motion signal and to accurately measure the displacement.An acceleration sensor placed in or on the heart can measure vibrationalor displacement components of heart motion, or both thereby allowing thecharacterization of pumping function and various pathologies.

The sensor may be based on MEMs principles, which allows forminiaturization and low power consumption. The design and fabrication ofcapacitance MEMs-based accelerometers are known to those skilled in theart. MEMs-based accelerometers are typically fabricated from silicon orsemiconductor substrates. In one illustrative system, the sensor isfabricated from a radiation-resistant semiconductor as the sensor willbe implanted in many cases under fluoroscopic guidance. The generaldesign of the accelerometer measures capacitance changes due to themovement of a proof mass beam with a side arm interdigitated between twocapacitor plates. As the proof mass beam and side arm move withacceleration or vibration, the capacitance changes and this signal canbe output as a measure of motion. These accelerometers are fabricatedfrom silicon substrates which allows for single-chip fabrication of thesensor with the necessary signal processing circuitry. This single-chipdesign increases the device's sensitivity as extremely small changes incapacitance can be measured. MEMs-based acceleration sensors asdescribed above can measure milli- or even micro-Gs (1G equals 9.8meters/sec²) which is suitable for myocardial acceleration measurementswhich may typically measure between 50 and 500 milli-Gs or higher.

Other acceleration sensor designs could also be utilized and are knownto those skilled in the art. For example, a thermal acceleration sensorcould also be employed in which the proof mass is a gas. Also, while amulti-axis (2 or 3 axes) sensor may be most useful, single axis sensorscould also be used and oriented appropriately to detect different axesof motion. It should also be noted that a pressure sensor can sensemotion and could be used in place of an acceleration sensor in certainsystems when determining the onset of motion relative to referencepoints such as the QRS or isovolumic contraction of mitral valveclosure.

Both the vibrational and displacement LV motion can provide usefulinformation for diagnosis of CRT candidates and optimization of CRTtherapy, as is described below. The sensors may be tuned to sensehigh-frequency, low-amplitude myocardial vibration, or low-frequency,high-amplitude displacement motion. Alternatively, the signal-processingfilters could eliminate or reduce frequency bands that are lower orhigher. For the purposes of this specification, high frequency signalsare those greater than about 150 Hz and are related to vibrationalmotion and correspond to valvular pathologies such as mitralregurgitation; intermediate frequencies range between about 20 and 150Hz can be used to sense vibrational motion and low-amplitudedisplacement motion related to isovolumic contraction or relaxation andvalve closure (e.g., aortic and mitral); low-frequency signals are thosewith frequencies less than about 10 Hz or 20 Hz and are used to detecthigh-amplitude displacement, both lengthening and shortening, related toejection and filling.

The frequency associated with the peak amplitude of valve closure isapproximately 40-60 Hz. Thus, when sensing in the mid-frequency range,and to sense valve closure events, a narrower band may be used in thisrange than the typical mid-frequency range. This signal is closelyrelated to isovolumic contraction and relaxation. Because many cardiacevents such as isovolumic contraction and mitral valve closure, or LVshortening and mitral regurgitation, or LV lengthening and mitral valveopening, occur simultaneously, two or more sensors or two or morefilters may be required to characterize these different cardiac signals.For the purposes of this specification, references made to the LVmotion, LV cycle phases (e.g., isovolumic contraction or relaxation),and valvular phenomenon (e.g., aortic, pulmonic, or mitral closure ormitral regurgitation), should be assumed to be sensed with one or moresensors, in the appropriate axis, at the appropriate frequency. Whilethis specification focuses on using valve closure events to providereference points for characterizing target pacing regions and CRToptimization, valve opening could also be used.

Sensors can be oriented in the devices described below to optimallydetect the desired LV motion. In one embodiment, a uniaxial sensor isoriented anatomically longitudinally (heart base to apex) to sensedisplacement of the LV. In addition, this sensor could detectvibrational motion through appropriate filtering. Alternatively, twouniaxial sensors oriented longitudinally and radially, i.e., toward theventricular chamber, or three uniaxial sensor oriented longitudinally,radially, and coronally may be used. A single triaxial sensor couldmeasure all these components. In another embodiment, two dual-axissensors are oriented perpendicularly to each other in the catheter orLV-lead device. Three axes may be used for LV motion sensing withfiltering used to detect motion at the appropriate frequency. The fourthaxis may be used as to detect valvular events such as closure or highfrequency pathologies such as mitral regurgitation. In still anotherembodiment, three dual-axis sensors may be oriented perpendicularly toeach other with the three axes used to detect displacement motion andthree axes used to detect mid- and high-frequency vibrations related toisovolumic contraction or relaxation and valvular pathology such asmitral regurgitation.

Implantable RF-Based Acceleration Sensor Devices

In one implantable embodiment, the MEMs-based sensor as described abovealso incorporates circuitry for electromagnetic (e.g., RF) inductivecoupling to create an RF sensor, as shown in FIGS. 2-5.

FIG. 2 shows the placement of a RF MEMS sensor 108 positioned on acoronary stent 112. A second sensor 108′ may be employed at a fixeddistance from sensor 108 for measurement of strain rate. An inductivecoil 114 can further be integrated into the stent 112. A third or moresensors 108″ may also be employed. This stent may be expanded in knownfashion, employing a balloon. Referring to FIG. 3, the stent and sensormay be disposed at a lateral edge 156 of the mitral annulus 148 forwireless long-term monitoring of LV 146 function.

In an alternative embodiment, shown in FIG. 4, the stent and sensor maybe conductively coupled to an IAD 154, having a battery, signalprocessing capability, and data transmission circuitry and capability.

In more detail, FIG. 5 shows a schematic diagram of a batterylesswireless acceleration sensor mounted to, e.g., a coronary stent, and acorresponding data acquisition and processing system. Referring to FIG.3, an RF MEMs acceleration sensor 108, in an optional single chipdesign, is shown coupled via an RF transmission scheme 120 to a receiversystem 114 which is in turn coupled to a data processing system 110. TheRF transmission scheme 120 may be employed both for inductive poweringand also for data transmission.

The MEMs acceleration sensor 108 includes an RF inductive coil 116 whichmay surround RF circuitry 118. RF circuitry 118 is coupled to signalprocessing circuitry 122. In another part of the chip, the capacitiveMEMS accelerometer 124 is resident. As further indicated in the figure,a microprocessor, as an ASIC or otherwise, may be integrated onto thechip as well, along with optional data storage 128. Additional detailsof the MEMs acceleration sensor 108 design are given below.

The receiver system 114 includes a wand 132 which encloses an antenna134 via which data and power are transmitted. An amplifier 136, such asa MMIC amplifier, may be employed to precondition the signal prior totransmission.

The data processing system 110 generally includes a microprocessor 138,a data output and display subsystem 142, and a data storage area 144.

A main component of the RF circuitry is the inductive coil which is usedfor data transmission and/or inductive powering. Alternatively, separatecoils could be used for inductive coupling and data transmission. Arepresentative silicon-etched inductive coil for powering capacitiveMEMs sensors is disclosed in U.S. Pat. No. 6,667,725. The RF circuitry,including the inductive coil, may be incorporated into the same sensorchip. Alternatively this circuitry and coil may be fabricated separatelyand conductively linked to the sensor. For example, a planar RF antennafor inductive powering and data transmission may be fabricated on aflexible polymer substrate (e.g., polyimide) by winding or etching. Theantenna may be planar. The sensor can be soldered to the flexibleantenna circuit at bonding pad areas. The flexible polymer may then bewrapped around a vascular stent or incorporated into other cardiacdevices and implanted into the body. In another embodiment a flat planarcoil on a polyimide substrate is created with a long thin section. Theplanar coil can reside subcutaneously and the long thin section canreside transvenously within the body or within a device such as an LVpacing lead.

In addition, non-volatile memory may be used for storage of capturedacceleration data. Similarly, this memory may be integrated into thesame sensor chip, but may also reside as a separate chip and or in aseparate location with appropriate connections. Lastly, amicrocontroller or an application-specific integrated circuit (ASIC) maybe incorporated into a sensor chip design or the same may reside on aseparate chip and in a separate location. It should be noted that alldevice descriptions below that are based on RF coupling could bereplaced with conductive element coupling for data transmission andpower supply from a battery.

The RF accelerometer sensor can be hermetically sealed and packaged in abiocompatible housing to form a rugged sensor device for implantationinto the body or cardiovascular system. Appropriate packaging may alsoreduce damage due to exposure to fluoroscopic radiation. Appropriatepackaging would also not interfere with RF coupling. The device wouldhave appropriate mechanisms for attachment to the body or cardiovascularsystem, including: tines, helical screws, suture pads, retention struts,and structures, such as porous titanium, to allow tissue ingrowth. Thereare various form factors the packaged accelerometer sensor device mayhave to facilitate implantation and various strategies for affixing thesensor device to the body.

An exemplary use of an RF sensor device is in cardiac surgery. Cardiacsurgery and transplant patients can have severe myocardial dysfunction.An RF sensor could be affixed to the epicardial surface of the left orright ventricle. In this embodiment, the packaged sensor device may becircular and 2 cm or less in diameter and less than 5 mm thick. Thedevice's epicardial surface may be flat and may have a helical screw forfixation into the myocardial tissue. Various polymeric materials maybeincorporated into the sensor epicardial surface to promote attachment tothe myocardium. The upper device surface is curvilinear to conform tothe chest wall. One or more sensors could be used to detect LV motionand related LV cycle phases, valve closure, and valve pathologies suchas mitral regurgitation. Again, conductive elements and a battery supplycould replace the RF components.

In another embodiment, an RF MEMs accelerometer sensor is incorporatedinto a coronary stent that is implanted in the LV arteries. The stentmay also be implanted in the lateral coronary sinus or great cardiacvein or other LV veins near or proximate to the lateral edge of themitral valve annulus. This is akin to implanting a sensor directly ontothe epicardium and hence acceleration sensing of LV motion and the LVcycle phases can be measured. If two or more sensors are used separatedby a known distance, strain and strain rate can be measured. The sensoror sensors could also be used to sense valve pathologies such as mitralregurgitation. Design and implantation of stents are known to thoseskilled in the art. The transceiver coil could be integrated into thestent body, or the stent body of a coiled stent design could serve asthe transceiver, as shown in FIGS. 2 and 3. In still another embodiment,RF acceleration sensors are incorporated into a CRT or CCM pacing leadand preferably the LV lead. In this way, the sensor monitoring may occurindependently of the CRT system via RF inductive powering and datatransmission. RF acceleration sensors incorporated into a CRT lead orCCM lead could measure LV motion and characterize LV function, includingvalve pathologies such as mitral regurgitation, as described below.Additionally, RF MEMs sensors may be incorporated into guide cathetersor guide wires for the same purpose.

RF sensor monitoring and data transfer could occur via an antenna deviceconnected to a microprocessor which is worn by the patient or held nearthe sensor (e.g., over the chest). An appropriate antenna device wouldhave a large enough antenna to inductively couple with the sensor. Inone illustrative system, the antenna device may couple with the sensorat a distance of 5 to 15 cm and up to 15 feet. An exemplary antennadevice is discussed in “RF telemetry system for an implantable bio-MEMssensor”, Rainee Simons, et al., NASA Glen Technical Reports, June 2004,NASA TM-2004-212899. As discussed in this paper, an MMIC amplifierconnected to the antenna can allow for a reduction in the size of thesensor coil and the reader antenna.

The antenna would transfer the sensor data to a microprocessor orcomputing device that applies processing algorithms to the data anddisplay the data to the physician for therapy monitoring. Themicroprocessor computing device and reader may be integrated into onedevice. Various signal processing functions may be carried out by themicroprocessor such as filtering different band widths for differentsensors to differentiate vibrational motion signals indicative of valveclosure or mitral regurgitation from lower-frequency displacement motionrelated to LV ejection or filling. Because patients may have variousvalve anomalies, such as mitral regurgitation or aortic stenosis, themotion related to isovolumic contraction and relaxation may beespecially monitored and may be indicative of valve closure events dueto the short time period (about 10-30 milliseconds) between isovolumiccontraction or relaxation and valve closure. Signals may be timed fordetection after onset of the QRS, an endocardial electrogram, or otherelectrical signals. For example, sensing isovolumic contraction mayoccur immediately after sensing of the QRS for an interval of 50-150 ms,i.e., to allow particular attention to be given to this period. Inaddition, the microprocessor could carry out various statisticalmanipulations to monitor long-term trends. It should be noted that themicroprocessor could also be located in an implantable deviceconductively coupled to the sensors.

Data transfer could be conducted by the physician periodically.Alternatively, the antenna device could be connected to the patient'shome computer and transferred data could be sent to a physician ormonitoring center over a network. An RF sensor-reading antennaintegrated into or connected to a cellular phone would allow data to bewirelessly transmitted to a physician or monitoring center. Similarly ahand-held computing device with wireless communications could transfersensor data wirelessly to a physician or monitoring center.

In another embodiment, at least one RF sensor, and even two or more, areincorporated into an endovascular catheter with or without a guidewirethrough lumen that can be implanted into the blood vessels of the body.In this illustrative system, at least one sensor is capable of sensingvalve closure, isovolumic contraction or relaxation phases, or mitralregurgitation either by sensor tuning or filtering. This sensor catheteris placed via transvascular methods form the subclavian vein, internaljugular, or cephalic vein into the coronary sinus, or its tributaries,including the left ventricle drainage veins. The proximal portion of thecatheter has a means for implantation and anchoring in the subcutaneoustissue.

Methods for inserting catheters into the coronary sinus and LV veins arewell-known to those skilled in the art. In general, insertion occursover a guidewire after accessing the coronary sinus ostium with a guidecatheter. This placement is done under fluoroscopic visualization so thesensors are constructed to withstand the radiation exposure or areotherwise protected in a capsule that does not interfere with RFcoupling. The catheter is flexible, may or may not be braided, and ismade of a biocompatible polymer such as silicone or PBAX. The sensorcatheter could have various features to facilitate placement andanchoring including fixed angles, a guidewire lumen, tines, and tipdeflectability or steerability. In addition, the catheter may have anocclusion balloon and contrast injection lumen and port for acquiring anLV venogram. Alternatively the venogram features are incorporated intothe guide catheter. Preferably, one sensor is located at theposterio-lateral or lateral edge of the mitral annulus. Additionalsensors may be located on the catheter separated by known fixeddistances (e.g. 5-10 mm) to provide strain and strain rate data. Theabove catheter allows long-term monitoring of myocardial mechanicalactivity and the LV cycle phases via wireless sensor powering and datatransmission, thereby minimizing device complexity.

Preferably the region of the catheter where the sensors are located issuitably flexible to move with the displacement motion of the heart.Referring to FIG. 4, if two sensors are employed to measure strain orstrain rate, the region between these two sensors should be suitablyflexible to ensure that the two sensors move relative to each otherduring LV displacement. The sensors may, e.g., move radially andlongitudinally relative to each other. The flexibility may be achievedby fabricating the region of the catheter where the sensors are locatedwith a metallic or polymeric helical coil. Alternatively, a thin-walledpolymeric catheter tubing could be employed. It may also important thatthe sensors lay adjacent to the myocardium as closely as possible or areprevented from moving within the vessel in a direction counter to thecontracting or relaxing myocardium. This may be accomplished byweighting the bottom portion of the catheter where the sensors arelocated such that they lie flat on the myocardium.

For example, referring to FIG. 6, a system is shown including a catheterhaving a coiled sensor segment or LV lead design which enhancesflexibility between the sensors for detecting myocardial strain ordisplacement. A catheter body 158 has a distal end 162 and adjacent todistal end 162 is sensor segment 164. A guidewire lumen 166 mayaccommodate a guidewire 168 for effective placement of the distal end162 of the catheter. The sensor segment 164 includes a metallic orpolymeric coil 178. A displacement sensor 172 may be mounted to the coil178, along with a sensor 174 to detect valve closure or isovolumicphases or mitral regurgitation. One or more electrodes 176 may also beprovided for sensing cardiac electrograms and delivering ablative RFenergy if required.

Alternatively, a structure can be used to constrain the sensors orsensor region of the catheter in the blood vessel, as shown in FIG. 7.This may be accomplished with a flexible wire cage that extends aroundthe sensors or sensor region of the catheter at a diameter approximatingor greater than the vessel diameter. An inflatable balloon or expandingdeployable structure could also be used to constrain the sensors orsensor region of the catheter in the vessel. Lastly, angling or coilingmay be employed of the region of the catheter with the sensors such thatthe bend helps constrain the sensor to the epicardium.

In particular, referring to FIG. 7, a system is shown in which a coiledsensor or LV lead design is disposed at the distal end of a catheter,the coiling allowing enhanced flexibility. A catheter body 182 has asensor segment 184 at the distal end 202 thereof. A displacement-sensingsensor 188 is provided along with a sensor 186 which may measure valveclosure, isovolumic phases, or mitral regurgitation. Coils 192, 194, and196 provide enhanced flexibility for the sensor segment 184. It shouldbe noted that the actual number of coils and sensors may vary dependingon the design and requirements of the catheter. Coils 192, 194, and 196may have a polymeric or metallic construction. Sensor 186 may besurrounded by a wire cage 206 which may be employed for constraining thesensor at a predetermined location in a vessel. Wire cage 204 may servea similar purpose for sensor 188. The wire cages 206 and 204 furtherassist in preventing movement of the sensors during contraction.

Implantable Non RF-Powered Acceleration Sensor Devices

In an alternative illustrative embodiment, and referring to FIG. 8, anIAD (is fabricated by incorporation of one or more non-RF MEMsacceleration sensors into an LV venous catheter, as previouslydescribed. In this system, long-term monitoring of LV mechanicalperformance can be performed. Acceleration related to both LV vibrationand displacement, and valve pathologies such as mitral regurgitation,are measured by sensing at the appropriate frequency with the one ormore sensors and employing filtering and signal processing.

In particular, FIG. 8 shows a heart 200 and subclavian vein 216. Alsoshown are the left atrium 218, the right atrium 222, the right ventricle224, and the left ventricle 226. The catheter 210 may enter the heartthrough the subclavian vein 216, and extend through the coronary sinusostium 38 into the coronary sinus 242 adjacent to which is the mitralannulus 244. After passing partway through the coronary sinus, up to thecardiac vein 248, the catheter may extend into the LV vein 246.

The catheter 210 includes, near a first end 228, one or more sensors 208and 212. For appropriate sensing, the sensors may be separated by anapproximate pre-determined distance, e.g., 10 mm. One sensor may resideat the posterior-lateral edge 214 of the mitral annulus. The sensors maybe conductively connected via the catheter 210, at a second end 232, toa subcutaneously-implantable data acquisition and processing device 234,which contains a battery supply, RF telemetry circuitry, amicroprocessor, and data storage. The implantable data acquisition andprocessing device may be housed in a hermetically-sealed titanium shell.The processing unit 234 may connect to the catheter 210 via a proximalcatheter connector 236. The sensors are encapsulated in a structure thatprotects them from fluoroscopic radiation damage; however, because thesensors in this embodiment are not directly RF-coupled, concerns aboutinterfering with this coupling are eliminated. Insulated, multifillar,coiled wires 252, only a portion of which are shown in FIG. 8 forclarity, conductively connect the sensors to the proximal catheterconnector 236. The connector attaches to the implantable dataacquisition and microprocessor device 234, which powers the sensors,captures the sensor data, processes the data, and stores the data. Themicroprocessor controls the data sampling period and data samplingintervals. Captured acceleration data can be subjected to various dataprocessing algorithms as are described below. This processed data can bestored in memory for later RF telemetry data transfer.

The battery in this embodiment may be rechargeable or typical ofimplantable battery sources. A typical implantable battery cell designis lithium silver vanadium oxide. Lithium carbon monoflouride may bealso be used and has certain advantages due to its low weight.

Data storage may include readable and writable memory. A constant powerinput from the battery can allow volatile random access memory to beused for data storage and control functions. However, non-volatile datastorage such as EEPROM or flash may also be used. A combination ofvolatile and non-volatile memory storage may be used. Flash memory isnon-volatile, compact and operates in the voltage range of implantabledevice batteries. Access to the data is rapid and megabyte storagecapacity is available in a small size. Data may be stored on afirst-in-first-out basis if memory becomes full prior to RF telemetrydata transfer.

IAD acceleration data acquisition occurs over a sampling period that maybe continuous or may be only a short period such as several seconds toup to 30 seconds or even several minutes. Data acquisition may occur atvarious sampling intervals such as from 8 to 1,440 times each day.Sensor data is sampled at rates sufficiently high to provide usefulinformation for diagnosis and monitoring of CRT patients, target pacingregions, and heart failure (or cardiomyopathy) patients, and preferablyat rates of 100 per second to 1000 per second. Sample rate, sample time,and interval periods are in part dependent on data storage capacity.Data captured and stored can be transferred by telemetry to a computingdevice either daily by the patient or weekly to monthly or longer by thephysician. Data storage may be sufficient to allow at least one day ofdata storage and up to six months of data storage at the optimal datasampling rate, time, and interval to provide the physician with usefulinformation.

In another illustrative system the IAD described above is integratedwith the proximal portion of a cardiac pacing lead, and preferably an LVCRT pacing lead, as shown in FIG. 9. At least one and possibly twosensors or more, shown as sensors 254-262, are incorporated into the LVpacing lead to measure LV motion and characterize LV function. Thecatheter may have an endovascular portion 270, and a subcutaneousportion 280, with a subcutaneous anchoring device 272 to anchor theadjacent portion of the catheter to the chest wall.

If strain or strain rate data is to be measured, two or more sensors maybe incorporated at a known distance from each other, e.g., 5, 10, or 15mm. One or more sensors are positioned on the lead as in the aboveembodiments with least one sensor residing at or near theposterior-lateral or lateral edge of the mitral valve annulus. Theregion of the lead between and around the sensors is made suitablyflexible as previously described to ensure measurement of LVdisplacement and strain or strain rate. Sensing is carried out atdifferent frequencies or with one or more sensors, or both, to measureboth displacement and vibration to characterize the LV cycle phases andfunction, and pathologies such as mitral regurgitation. ThisIAD-integrated cardiac lead design allows cardiac mechanical monitoringindependent of the CRT or CCM IPG. In this pacing lead embodiment, animplantable data acquisition and processor component 278 may be made assmall as possible. Thus the battery cell used may be ultra miniature andmay be rechargeable. Exemplary batteries are available from Quallion,Inc., of Sylmar, Calif., some of which have a 2.9 mm outer diametercylindrical implantable battery (2.7-4.0 V, 3 mAmp-hours). A compact,non-volatile memory such as flash memory may be used in this system forprocessed data storage. Data processing algorithms may be performedafter RF telemetry data transfer. The IAD RF telemetry may occur at afrequency that does not interfere with a CRT device 284. In addition tothe battery power, data storage, and RF telemetry components, theimplantable accelerometer data processor 278 may include amicroprocessor, and may connect to the catheter via connector 282 at adistal end of Y-connector portion 290.

The catheter may be disposed using guide wire 274 having distal tip 292adjacent tine 298, the guide wire being enclosed within a guidewirelumen (not shown).

Data and signals from the sensors and the data acquisition andprocessing component 278 are sent to the CRT device 284 via connector276. The CRT device 284 may also receive signals from RA lead 286 and RVlead 288.

The design of LV pacing leads is known to those skilled in the art. Ingeneral, the LV CRT lead and fixation is similar to currently deployedleads with the exception of the requirement of accommodating theaccelerometer-based sensors. The lead may be unipolar or bipolar. Theconductive wires for the electrode may be coiled, mutifillar, andsheathed in a polymer such as silicone or polyurethane. A connector 276at the proximal end 277 allows connection to the IPG and may beuniversal according to the IS-1 standard. A set of pacing electrodes264-268 and 296 can be variously fabricated as a blunt-nosed tip (296),ring (264-268), or coiled. Non-corrosive alloys and metals can be usedin the electrodes/lead such as platinum iridium or titanium iridiumoxide or nickel cobalt or others such as are known in the art. The leadmay elute a steroid drug via a drug elution component 294 to minimizeinflammation at the electrode site location to keep capture thresholdslower. The lead could also have an ePTFE coating at the electrode tominimize fibrosis.

In another illustrative LV lead implantable system, a sensor 302 isincorporated into a sensor wire 304 that integrates with an implantableLV lead 300 (See FIGS. 10-14). This design allows the pacing lead to bepositioned in the target pacing region and LV vein and the sensor can bepositioned along the lateral or posterior edge of the mitral annulus.The sensor wire can also serve as a guidewire for the LV lead 300. Thesensor 302 is attached to the sensor wire 304 via a stalk 306. Theelectrical conductors 308 of the sensor 302 run through the stalk 306and down the length of the sensor wire 304. At the proximal end 310 ofthe sensor wire 304 is a connector 312 for linking the sensor 302 to anIAD 314. Even more proximal of end 310 may be a connector 342 toconnecting the LV lead to a CRT device 344.

The sensor wire is integrated into the LV lead via a side wire lumen 316along the length of the LV lead 300. The side wire lumen 316 is split toallow the sensor to be shuttled along the surface of the lead body 300.The sensor wire 304 may reside in the side wire lumen 316 and the sensorstalk 306 may reside along the split in the lumen 316. Thus theacceleration sensor 302 can be shuttled to the desired location at themitral annulus 322 (see FIG. 14), such as near to the lateral border 326of the mitral annulus 322, while the pacing lead 324 can go to thetarget pacing region, e.g., region 330. If the pacing lead 324 makes abend to cannulate and LV branch that feeds into the coronary sinus, thesensor wire 304 can continue straight within the coronary sinus 326 orgreat cardiac vein to the desired location. In other words, the sensorcan be placed in a desirable location for measuring LV function whilethe pacing lead is disposed in the proper location for pacing of theventricle.

Also shown in FIG. 10 is a central guide wire lumen 318 (which emergesfrom opening 336) that may be employed to position the LV lead 300, aswell as components of the pacing lead 324, such as ring electrode 332,optional acceleration sensor 334, and microporous tip electrode 338.

In use, as the LV lead 300 bends to enter the posterior to lateral LVvein 342, the sensor wire 304 and sensor 302 bend out of the side lumen316 due to the stiffness of the sensor wire 304. In this way, while theLV lead 300 goes into the LV vein 342, the sensor 302 continues on to aposition near the mitral annulus or the lateral border thereof.

In another illustrative system, as shown in FIG. 15, the IAD isintegrated with the CRT or CCM IPG device, here shown as device 350 Inthis CRT acceleration sensing and control system, sensor data is used tocontrol the output of pacing signals to electrodes in regions of latecontraction and deformation.

As before, acceleration sensors 352-358 are integrated into the LVpacing lead 360. Circuitry and control of sensor data acquisition andprocessing may be integrated with the electronics of the CRT.Algorithm-processed acceleration data, described below, can be used tocontrol and optimize the CRT such as via the atrioventricular interval,the interventricular interval, and may further be used to optimize theLV pacing site. Motion sensing may be used to dynamically change thepacing at multiple LV electrodes to continuously optimize the LV pacingover time. Cardiac events such as valve closure or isovolumic phasescould control the timing, similar to a cardiac electrogram. At least onesensor may be designed to detect valve closure or isovolumic contractionand relaxation and may be positioned in the vessel to do so. Such adevice that senses mechanical cardiac activity, e.g., valvular events,isovolumic contraction phases, and deformation, may be more optimal thancontrolling pacing signals with a sensed cardiac electrogram sincecardiomyopathy causes mechanical dyssynchrony. Because some CRTs havedefibrillation capability, the sensors and their attendant circuitry mayhave to withstand the energy delivered during a defibrillation event.This device may be capable of standard CRT functions, includingmulti-chamber EGM sensing, pacing, and trigger or inhibition control.Event sensing and storage would also be typical. Antitachyarrhythmia andbradyarrhythmia control of the atria and ventricles as is currentlyavailable may also be present and may include overdrive pacing,cardioversion and defibrillation. The device also allows periodicassessment of electrode capture threshold and adjustments to thisthreshold. This preserves battery life and ensures optimal myocardialactivation and therapy. Hence myocardial deformation or strain rate maybe monitored and pacing signals directed to the electrode where latedeformation is occurring. Consequently, this type of CRT system may havean LV lead with multiple electrodes and acceleration sensors.

In more detail, device 350 may be connected to various leads viaconnector 392. The leads may be RA lead 370, RV lead 380, and LV lead360. The RA lead 370 and the RV lead 380 may have optional accelerationsensors 346 and 348, as well as electrodes 362 and 364, and helicalfixation points 378 and 382. Besides the acceleration sensors alreadynoted on LV lead 360, a number of electrodes 366-374 may also bedisposed. A guide wire lumen 384 may be disposed for use with a guidewire to aid is positioning the lead. The distal tip of the lead mayinclude a tine 376 to help stabilize the lead in the vein. An optionalballoon occluder 386 may be employed for venogram acquisition, with acontrast injection port 388 adjacent, but distal, thereto. The remainderof the catheter system is as has been already described.

Signal Processing, Data Analysis, and Monitoring

In one illustrative system, the LV motion signals and data analysis areproduced from a sensor along the mitral valve annulus. Mitral annularvelocities have been shown to provide an accurate assessment of globalleft systolic and diastolic function. Mitral annular motion may also bebest to measure displacement of the LV. Thus, this displacement motionmay be subjected to a mathematical integration algorithm, as shown inFIG. 16, to yield velocity and distance.

In particular, the first step is to acquire acceleration data (step394). Following this initial step, the data may be averaged over apredetermined sample period (step 396). The acceleration data may thenbe integrated to obtain the velocity (step 398).

A velocity curve may then be output to indicate systole and diastolicvelocities (step 402). From this an analysis of peaks over time may beoutput (step 404). Finally, a measurement may be taken of the onset ofdisplacement velocity versus the QRS peak (step 406).

If a second sensor acquires, or can be used to acquire, velocity data aswell (step 408), displacement and strain rate may be obtained. From thefirst and second sensor velocity data, the strain rate can be calculated(step 412), and a strain rate curve may be output (step 416). From thestrain rate and the velocity data, the data can be integrated to obtainthe ventricular displacement (step 414), from which a displacement curvemay be output (step 418). In general, LV motion signals may be processedin a manner best used for interpretation and therapy optimization. Thisincludes analyzing indices or variables of LV function such as: peaksand slopes of acceleration, velocity, and distance curves, intervaltimes of LV cycle phases, and analysis of pathological valve signals.Curves, such as a velocity curve of LV displacement, may be plotted withvelocity in millimeters or centimeters/sec as the ordinate and cardiaccycle time in milliseconds as the abscissa. The algorithm may alsoinvolve calculating strain rate by processing acceleration data from atleast two sensors separated by a known distance, e.g., 5 to 15 mmmillimeters apart. Vibrational motion signals, e.g., that related tomitral regurgitation, may be presented as an amplitude and duration or achange in the frequency.

3-axis sensing is utilized in some illustrative systems. A more accuratemeasurement of peak amplitude can be measured by calculating thecomposite acceleration vector of each axis (x, y, and z). This canaccount for the gravitational acceleration and its effects on sensortilting. The composite vector can be calculated by taking the squareroot of the sum of the x-axis measurement squared plus the y-axismeasurement squared plus the z-axis measurement squared. This peakamplitude calculation can be applied to both the vibrational motion andthe displacement motion. This may be particularly accurate during theimplantation of an LV lead for CRT therapy when the patient is lyingstill on a procedure table. Here the sensor measures the peak in the LVveins or coronary sinus.

Thus, LV acceleration signals are sampled at a designated rate for a settime period, which is the sample period. Sensor data from the sampleperiod can be averaged over several or more cardiac cycles to smooth outeffects related to respiration and patient motion. The averaged data canthen be used to produce a cardiac cycle acceleration curve whichincludes tissue acceleration, in, e.g., mm or cm/sec² versus cardiaccycle time, in milliseconds. This curve can then be mathematicallyintegrated to produce a tissue velocity curve, e.g., in mm-cm/sec vs.cardiac cycle time. A second integration can performed to produce adistance curve, with units of mm or cm. Point-by-point accelerationsensing and integration can also be performed with peak identification,integration, and presentation as an individual data point rather than acurve.

Strain and strain rate curves and data points may be generated fromvelocity curves or data points. Generally at least two sensors areneeded to measure strain rate. Velocity curves or data are generatedfrom the two sensors in at least one axis. Strain rate or strain ratecurves are created by integrating the difference in velocity data fromthe two sensors at the same point in the cardiac cycle and dividing thisdifference by the distance between the sensors ∫(v₁−v₂)/1. Since thedistance of the sensors along the length of the implanted catheter orpacing lead is fixed, the distance between sensors is known. The straincurve is generated by integrating the strain rate curve.

Referring to FIG. 17, the velocity of LV displacement from the mitralannulus, generally at the posterior-lateral edge thereof, produces peaksrepresentative of LV function during systole and diastole. Analysis ofthe peaks including: magnitude of the change, e.g., positive andnegative, peak slopes, peak/peak ratios, slope/slope ratios, peak/sloperatios, and peak integration, provides specific information on LVfunction related to contractility, afterload, volume status, preload,ventricular compliance, ejection fraction, and ventricular synchrony. Asabove, FIG. 17 and the like may represent a composite of all three axes,x, y, and z, of the acceleration sensor.

This information is useful for the physician for long term management ofthe cardiomyopathic patient. This curve 422 often has two peaks duringsystole (S1 424 and S2 426) and three peaks during diastole (isovolumicrelaxation 428, E 432, and A 434), though at times not all of the peaksare discernable. Trends in these peaks can provide useful information tothe physician. These trends may prompt changes in pharmacologic therapysuch as drug addition/elimination or dosage changes.

For example, referring to FIG. 18, which shows a representation oflong-term monitoring and therapy optimization, a patient is seen with abaseline level of maximum peak magnitude of the average of daily sampleintervals of S1 or S2 annular velocities (line 436, with a standarderror of mean (SEM) of daily average peak data 437 and 437′). Decline438 may be seen, which corresponds to a decline in contractility, e.g.,of the S1 peak. The decline may be defined in various ways, such as by aone or two SEM deviation from the baseline. A therapeutic interventionat 442 is shown, which is done to improve contractility. A new baselineis then evident at 444, with SEM bars at 446 and 446′.

These trends may also indicate when additional interventions arewarranted such as cardiac surgery, endovascular revascularization, orCRT. It may be noted that these peaks have been characterized withtissue Doppler imaging at the posterio-lateral edge of the mitral valveannulus in a single plane. An epicardial acceleration sensor in the sameregion, that is recording acceleration in 1, 2 or 3 axes, may produce asomewhat different velocity curve. However, it is believed that thecurve can be analyzed in a manner analogous or similar to that discussedbelow to provide useful information to the physician.

The S1 peak can be used to assess myocardial contractility with a higherpeak indicating improved contractility and a lower peak indicatingreduced contractility. A main goal of heart failure therapy is toimprove myocardial contractility. Contractility can be improved with CRTtherapy and pharmacologic therapy. The slope of this peak may providesimilar information.

The S2 peak can be used to assess afterload, which is a measure of theresistance the heart must pump against as it circulates blood to thebody. It is the goal of heart failure therapy to reduce afterload,primarily with the use of pharmacologic agents. Increases in the S2 peakrepresents increases in afterload, and decreases in the S2 peakrepresents reductions in afterload. Alternatively, integrating the areaunder the S2 peak may provide information on the afterload. The S2 peakalso correlates with ejection fraction and rate of pressure change(dP/dt).

The E and A peaks can be used to assess cardiac compliance and patientvolume status. In heart failure therapy, optimizing the patient's volumestatus and its effect on left heart pressure is important.Cardiomyopathy patients have a tendency to retain water and can becomevolume overloaded. When this occurs, the function of the heartdeteriorates and symptoms such as pulmonary congestion occur. Diureticdrugs such as Lasix are commonly used to reduce water retention.Monitoring of the E and A peaks and slopes, and integrating the areaunder the curve, can provide information on volume status. In addition,the relationship of the E and A peaks (E/A) is indicative of ventricularcompliance. Ventricular compliance can change with ischemic events andcan be reduced with long-term elevated afterload. Beta-blocker therapycan affect compliance in cardiomyopathy patients and therefore may bemonitored with the E and A peak data.

The A peak which represents atrial contraction can also be used tooptimize atrioventricular timing in a patient with CRT therapy. AVsynchrony optimizes preloading of the heart and improves pumpingperformance in part via the Frank Starling mechanism. Ideally,ventricular contraction occurs at the completion of atrial contraction,which produces optimal preloading of the ventricle. The end of atrialcontraction and ventricular filling can be determined at the point atwhich the ventricular velocity crosses the abscissa after the peak ofthe A wave (FIG. 11). Subsequently, ventricular pacing signals can betriggered at this point.

Other measures of LV function can also be obtained by analyzing the timeintervals of different phases of the cardiac cycle. Several timeinterval measures include the isovolumic contraction, ejection phase,isovolumic relaxation and LV filling time. Time intervals can beestimated from the acceleration, velocity, and distance data. The startof a time interval may be identified as an acceleration amplitude abovea certain threshold (e.g., +/−milli Gs) and the end of an interval maybe indicated by the dipping of the acceleration amplitude below athreshold value. Also, the number of zero crossings may also be used toestimate time intervals. A reduction in the isovolumic contraction orrelaxation time interval would be indicative of a favorable response.Increase in the ejection phase time interval, e.g., QRS to aortic orpulmonic valve closure, and the filling time interval, would also beindicative of a favorable response.

The myocardial performance index (MPI) is a measure of systolic anddiastolic function that is a good predictor and monitoring indicator forheart failure. The index is calculated as the isovolumic contractiontime plus the isovolumic relaxation time divided by the ejection phasetime (FIGS. 18 and 21). A reduction in the value of the MPI isindicative of better LV function. The MPI may be assessed using anacceleration sensor by measuring the intervals as described above. Inaddition it may be assessed by monitoring mitral valve opening andclosing from the coronary sinus or great cardiac vein and measuring theejection phase due to LV shortening. Thus the time interval duringsystole between mitral valve closure and mitral valve opening minus thetime interval of LV shortening divided by the time interval of LVshortening is indicative of the MPI.

Longitudinal displacement of the mitral annulus inferiorly duringsystole and superiorly during diastole is also a good measure of LVfunction. Thus a sensor in the coronary sinus or proximal the greatcardiac vein with at least one axis oriented longitudinally will measurethe acceleration of the annular region in the inferior and superiordirections. From this, velocity and distance can be calculated throughintegration. The peak acceleration, peak velocity, and distance traveledby the annular region during systole are indicative of performance withhigher values indicating better function. Similarly the velocity andpeak acceleration during diastole as well as the distance traveled is ameasure of LV performance with higher values indicating better function.The clockwise or counterclockwise rotation of the basal and annularregion can be measured in the coronary sinus with an acceleration sensororiented horizontally. Again, higher values of acceleration, velocity,and rotation are indicative of LV performance. Narrowing and wideninganteriorly/posteriorly and medial/laterally of the mitral annulus isalso indicative of LV function. An acceleration sensor oriented radiallyto the heart in the coronary sinus or proximal the great cardiac veincould assess this motion with higher values indicative of betterfunction. A 3-axis sensor could measure all axes of motion of the mitralannulus: longitudinal, radial, and rotational, for completecharacterization of LV function from the coronary sinus. This would beuseful for long term monitoring, identifying, and optimizing LV pacingregions during CRT lead placement as described below.

Referring to FIG. 19, in which displacement, in, e.g., cm or mm, isshown as the ordinate, low frequency (1 to 10 Hz or less than 20 Hz)acceleration sensing associated with LV displacement and its respectiveintegration of velocity and distance may appear as a semi-sinusoidalwave (curve 448) of positive and negative deflections with a frequencyas a function of the heart rate. The orientation of the sensor axesdetermines if longitudinal displacement is a positive deflection or anegative deflection. By convention, longitudinal shortening is usuallydisplayed as a negative or downward-moving deflection and lengthening asa positive or upward-moving deflection. If the orientation of the sensoris not known and cannot be determined easily, information recorded bythe sensor may not allow the physician to distinguish systolicshortening from diastolic lengthening. Orientation can be determined bysynchronizing the low frequency sensor data with the high frequency dataor the QRS (see curve 458 and points 454, which signify mid-frequency(20-150 Hz) valve closure signals. Isovolumic contraction and relaxationsignals occur with a similar mid-frequency.). Thus, the start of systoleand shortening can be determined as the deflection that occurs afterisovolumetric contraction, mitral valve closure, or alternatively theQRS. The double integration of the peak amplitude of the sensor dataafter mitral valve closure or isovolumic contraction or QRS isrepresentative of peak longitudinal shortening. The same rationale canbe applied to orienting longitudinal lengthening using isovolumicrelaxation or the aortic valve closure sensor data or the T-wave (seeFIG. 1B) as the reference point. Isovolumic contraction or relaxation ormitral or aortic valve closure can have distinctive vibrational signalsdetected by higher frequency sensing, allowing the same to bedistinguished. However, mitral valve closure can be determined bycomparing the sensor signal to the ECG, whereas the mitral valve signalwill be the first signal detected after the QRS. The microprocessor canbe programmed to display the shortening and lengthening according toconvention.

To accurately measure the length or magnitude of ventriculardeformation, peak velocities, or peak accelerations, during systole (oreven diastole) along the radial or longitudinal axes, a zero referencepoint is preferably ascertained. This can be seen in FIG. 19 as point456, for the zero point systolic deformation for length measurement,which also represents the peak diastolic length. A different peak 458represents the zero point diastolic displacement, which is also the peaksystolic shortening. As the sensor devices are maneuvered in the patientor as a patient moves, the tilt of the sensor with respect to gravity,i.e., the angle versus the gravity vector, will change. This sensoroutput due to the tilt signal must be accounted for or offset toaccurately measure peak amplitudes and distance of shortening. Formechanical mapping (see below), the magnitude of shortening, or peakvelocities or peak acceleration, could be assessed and regions that areactivated earlier and have a greater magnitude of shortening would beselected for long-term CRT pacing. Also, the optimal pacing capturethreshold could be determined by applying pacing signals of increasingstrength (millivolts). Monitoring the magnitude of the deformation andcorrelating this with the pacing signal strength optimizes the pacingthreshold. Further, the qualitative assessment of lengthening orshortening is facilitated by having a zero point.

Referring again to FIG. 19, valve closure or isovolumic contraction orrelaxation can provide the zero-offset reference point. Alternatively,the onset of the QRS can be used to determine the zero point. Hence,length of systolic shortening 460 is measured as the peak amplitude ofthe double integration of acceleration data sensed after isovolumiccontraction and/or mitral valve closure or QRS onset. Similarly, thelength of diastolic lengthening 450 is measured as the peak amplitude ofthe double integration of the acceleration data after isovolumicrelaxation and/or aortic valve closure, i.e., the diastolic zero point.The tilt reading, or tilt offset, of the sensor can also be accountedfor by using the QRS onset, mitral valve closure, or aortic valveclosure from the signals measured. Thus, the capacitive signal sensed bythe sensor at the above reference points can be subtracted out fromsubsequent signals being measured to detect LV lengthening andshortening. Accurate assessment of diastolic lengthening as noted aboveallows the physician to monitor the filling and the dilated state of theleft ventricle.

Trends of increasing diastolic lengthening are indicative of volumeoverload, while reduction in diastolic lengthening representsimprovements due to volume unloading. This data may be trended in animplantable device according to an embodiment of the current inventionand is useful in the mapping procedure to assess the effect of pacingthe target region which may then shows a reduction in peak diastoliclengthening due to improved pumping and volume unloading.

Referring to FIG. 20(A)-(C), assessment of LV size for acute response toCRT and long-term management is shown. As heart patients regain fluidthe LV can become enlarged. Benefits are seen as reduced LV volumes. Byhaving a sensor on the lateral wall, the relative movement as the LV isenlarged could be monitored. Sensors also allow the establishment of areference point.

FIG. 20(A)-(B) shows mitral annulus 462, LV wall 464, and cardiac vein466 in which is situated high frequency sensor 468 and low frequencysensor 472. FIG. 20(B) shows the position of the sensor on the heart atthe end of the filling phase (post isovolumic relaxation). If the heartimproves, the sensor moves inward to reflect the smaller size (FIG.20(A)). If the heart enlarges the sensor moves outward (FIG. 20(C)).Thus, used in this was, embodiments of the invention give a measure ofdiastolic filling or dilation.

Mitral regurgitation can be caused by LV dilation and functionaldecline, which worsens the symptoms of heart failure and is associatedwith faster deterioration of the heart. CRT can improve mitralregurgitation. Mitral regurgitation can cause higher frequency (>200 Hz)motion that can be sensed at the mitral valve annulus from the LVvasculature with the acceleration sensor. The amplitude of theacceleration signal and duration relative to the ejection phase may begood indices to measure for improvement. A reduction in amplitude andduration is indicative of improvement. A change in the frequency mayalso be indicative of improvement. The vibrational motion associatedwith isovolumic contraction may be indicative of the contractility ofthe heart. Increases in the peak of this signal may indicate bettercontractile function.

For trend monitoring (e.g., with an IAD), acceleration data is sampledat regular intervals during the day, termed the “interval period”, andthis data is averaged. Peak amplitudes can be plotted as the ordinatewith the monitored time interval (e.g., days, weeks, or months) as theabscissa (See FIG. 18). Data points may indicate the average amplitudeof the peaks from the interval samples. Statistical analysis of thesetrends can identify changes from baseline function that may warrant anintervention.

Disposable and Mapping Acceleration Sensor Devices

LV motion may be useful for identifying target pacing regions for CRT.Target pacing regions may be identified by how late the region of the LVstarts shortening relative to a reference point such as onset of systoleor end of systole (See, e.g., FIGS. 21-24).

Referring to FIG. 21, a catheter 462, which may perform mapping, isshown within the posterior LV or lateral LV 464, and in particularwithin the LV vein 466. The catheter 462 includes a sensor pair 468, asensor pair 472, and a sensor pair 474. The catheter 462 also includeselectrodes 476. Area 470 indicates the segment of late displacement. Themitral annulus is shown at position 478.

FIG. 22 shows displacement curves which identify a late shorteningsegment in the posterior region. Pacing of this region causes earlierdisplacement and synchrony with other segments. The abscissa representstime in milliseconds. The ordinate represents ventricular displacement,but similar curves may be drawn representing velocity or strain rate.The measurement from sensor pair 468 is shown by curve 482; themeasurement from sensor pair 472 is shown by curve 484; and themeasurement from sensor pair 474 is shown by curve 486. An ECG is shownas curve 488, with representative QRS waveforms.

Along curve 482, feature 492 represents late shortening. Feature 494represents a pacing signal from one of electrodes 476, in particular anelectrode adjacent sensor pair 468. Feature 496 depicts earliershortening of the late segment and optimized ventricular synchrony.Along curve 486, the baseline is chosen as the sensor position at QRSonset, or the onset of isovolumic contraction, or the end of the A-wave.The negative deflection shown in feature 498 reflects the shortening ofthe LV.

Uncoordinated LV contraction due to delayed regional shortening reducesthe efficiency and effectiveness of blood pumping and hence delayedregions are targets for pacing. Myocardial shortening that occurs afteraortic valve closure, i.e., post-systolic, does not contribute to theejection of blood and may exacerbate pathologic conditions such asmitral regurgitation and hence these regions are also targets forpacing. Both longitudinal and radial shortening may be delayed. Lateonset shortening or post-systolic shortening may be best measured at lowfrequency acceleration signals related to displacement. The integrationof the acceleration signal to a velocity or distance may also smooth outthe signal and make it easier for the physician to interpret. Areference point for delayed systolic shortening and post-systolicshortening may be the QRS onset and T-wave, respectively.

FIG. 23, shows various shortenings or displacement patterns in variousregions that indicate dyssynchronous LV signals and probable respondersto CRT. Delayed onset shortenings and post-systolic shortenings aretarget pacing regions.

Curve 502 represents an ECG with the Q, RS, and T waveforms shown. Curve516, which is straight, shows sound waveforms of the MVC and AVC. Curve504 represents a post-mid-segment measurement. Curve 506 represents apost-basal measurement. Curve 508 represents a post-basal-lateralmeasurement. Curve 512 represents a basal-lateral measurement. Curve 514represents a mid-lateral measurement. Various features of these curveswill now be described. In all the curves, points 526 represent the zeropoint position of the sensor at either QRS onset, MVC, or AVC. Also inall curves, the target pacing region was the basal lateral, and theexample shows delayed onset shortening, early systolic lengthening, andpost-systolic shortening.

Referring to curve 504 in FIG. 23, features 516 represent a shorteningand lengthening dyssynchronous pattern. Features 518 show adyssynchronous contraction pattern. Referring to curve 506, which showsa delayed hypokinetic response, feature 522 reveals a delayed onsetmotion relative to the QRS or MVC. Feature 524 reveals a reduced peakdisplacement or shortening hypokinesis. Curve 508 shows an akinetic ordyskinetic response. Curve 526 shows a dyskinetic response withpost-systolic shortening. This curve also shows early systoliclengthening at feature 528, post-systolic shortening relative to AVC atfeature 532, and normalized displacement or shortening at feature 534following pacing spike 530. Curve 514 shows a normal heart rhythm withpeak shortening at feature 536.

Alternatively, vibrational components of the LV cycle may be used asreference points. Thus a reference point for delayed systolic shorteningwithin systole may be the vibrational motion associated with isovolumiccontraction or mitral valve closure. Similarly, vibrational motionassociated with isovolumic relaxation or aortic valve closure may serveas reference points for post-systolic shortening. These reference pointsoccur in the mid-frequency range (e.g., 20 Hz-150 Hz), while thedisplacement motion occurs at the low frequency range (e.g., <10 Hz).These signals can thus be separated out by appropriate filtering. Postsystolic shortening more than about 20-50 milliseconds or greater than20% of the total regional shortening after aortic valve closure could bea target pacing region. Other targets are dyskinetic regions that haveperiods of lengthening during early systole followed by shorteningdeformation, or akinetic regions that have lengthening throughoutsystole (FIG. 16).

LV motion, both regional and global, can be used to characterize indicesof LV function in response to pacing. Thus, identification of a regionof late or post-systolic shortening may be performed, and/or a pacingelectrode can be positioned in the region and paced at a threshold thatensures tissue capture.

FIG. 17 shows a mapping method, for the LV, for CRT LV lead placement. Afirst step is to place the guide catheter in the coronary sinus (step538). A next step is to insert the catheter with the acceleration sensorinto the guide catheter and into the coronary sinus (step 542). A nextstep, which is optional, is to measure the onset of displacement motion,e.g., velocity or distance, relative to the onset of systole, asdetermined via QRS or isovolumic contraction (step 544). Step 544 may beperformed by moving the catheter in the coronary sinus and great cardiacvein or tributary veins, e.g., in a septal to lateral manner. A nextstep is to insert the pacing guide wire through the guide wire lumen ofthe acceleration sensing catheter and then into the tributary veins ofthe coronary sinus and the great cardiac vein (step 546), e.g., thebasal, mid, and apical regions. A next step is to pace the region in thetributary vein (step 548). A next step is to measure the accelerationsignal characteristic of LV function, e.g., QRS to AVC; the myocardiaperformance index (MPI); or mitral regurgitation (step 552), for whichthe peak acceleration is at the isovolumic contraction. The final stepis to insert the LV lead over the guidewire to the target region, i.e.,the region with improved LV function (step 554).

Referring to FIGS. 25 and 33, which shows myocardial motion mapping,display output, and target pacing identification through a roving paceguidewire, changes or variables indicative of a favorable LV functionalresponse may be sensed at the low, mid, and high frequency ranges. Inthe figure, “MVR” refers to mitral valve regurgitation, “IVC” refers toisovolumic contraction, and “IVR” refers to isovolumic relaxation. Thetop curve is ECG 556, curve 558 shows the velocity or LV displacement,obtained by integrating the acceleration signal, curve 562 shows LVfunction, and curve 562 shows the sounds of mitral valve regurgitation.

ECG 556 shows the QRS and T waves along with a pacing spike 566 which isdelivered in the LV vein region. Examination of curve 558 shows adelayed onset motion 568 but a lessened delayed onset motion 572following the pacing spike. Curve 562 shows a value of ejection phase574, as measured by the time between the MVC or IVC and the AVC or IVR,and then a longer ejection phase 576. Here the MPI can be seen to beMPI=(a+b)/c. Finally, curve 564 shows a reduced MVR signal 578 ascompared to the pre-pacing MVR signal 582.

As shown above, low frequency changes or variables indicative of afavorable response to pacing include but are not limited to: eithertemporally earlier or more synchronous shortening of the paced region;increases in longitudinal or radial displacement of the mitral valveannular region; increases in peak acceleration or velocity oflongitudinal or radial displacement of the mitral annular region (S1 orS2 peak). The change in radial and longitudinal shortening may reflectthe ejection fraction, a variable correlated with outcome in heartfailure. The position of the LV wall as determined by the sensor maydetermine the effects of pacing on LV volume (See FIG. 20). Midfrequency indices or variables associated with improved LV functioninclude but are not limited to: steepening of the slope or an increasein the peak amplitude of the isovolumic contraction phase; shortening ofthe isovolumic contraction time interval; shortening in the isovolumicrelaxation time interval; increases in the LV filling time relative tothe cardiac cycle length; increases in the time of aortic valve closureor mitral valve opening from QRS onset divided by the cardiac cyclelength; increases in the systolic ejection phase time interval;increases in the time from QRS onset to aortic or pulmonic valveclosure; and increases in the time from QRS onset to aortic or pulmonicvalve closure divided by the cardiac cycle length. Changes in LVfunction indicative of a favorable response to pacing at the highfrequency range would be a reduction in mitral valve regurgitationamplitude and duration as well as a frequency change. Lastly, themyocardial performance index may be also utilized as a measure of LVfunctional response and the same may be determined from mid-frequencysignals or a combination of mid- and low-frequency signals. Pacing ofcertain regions may not produce improvements in LV function. Ischemicregions may not respond to pacing or may contract poorly due to thepresence of non-contractile tissue and may therefore be avoided. Itshould also be noted that the displacement and the related strain ratecan be used to diagnose areas of ischemia, which may also be useful inoptimizing CRT, such as by avoiding the pacing of these regions. As anexample, regions where shortening is delayed or disappears under stressconditions, e.g., increased oxygen demand, such as dobutamine infusion,are likely due to ischemic blood flow. Other factors, such as theability to electrically couple to the region, may affect pacing. Pacingcapture thresholds must be determined, which could occur by increasingthe pacing stimulus and measuring the displacement, which is shown inFIG. 26. In particular, curves 584-592 represent pacing signals from 0.5mV to 3.0 mV. Curve 584 shows a small shortening, curve 586 shows more,and curve 588 shows still more. However, no difference in shortening isseen between curve 588 and curve 592, thus the optimal capture thresholdcan be determined to be 2.0 mV. Interval timing such as simultaneousventricular pacing, RV first pacing, or LV first pacing, may also needto be optimized to produce the desired response.

LV motion sensing with an acceleration sensor primarily at low frequencymay allow the identification of candidates for CRT. Many patients with alow ejection fraction and history of ischemic heart disease undergo theimplantation of a defibrillator. During the defibrillator placement, acandidate for CRT could be identified and an LV lead placed, thuspreventing the exposure of the patient to two separate procedures.

One way to assess candidates for CRT is by assessing contractilereserve. The presence of shortening during diastole is indicative ofcontractile reserve. The difference in peak ejection velocity orshortening or the start of motion or shortening in any two regions,e.g., the septal to posterior region or the posterior to lateral region,is indicative of dyssynchrony that may respond to therapy. Thesedifferences may be based on the time from onset of systole for eachregion or may be the direct difference between two regions. Thus, adifference in peak velocity from the septal to posterior wall of greaterthan 50-100 ms may indicate a target pacing region of the posteriorwall. Septal motion could be detected by a sensor located in the RA/RVor near the opening to the coronary sinus or near the posteriorinterventricular vein branch. Specific displacement patterns, such asboth shortening and lengthening, that occur between QRS onset and aorticvalve closure (FIG. 23), are indicative of dyssynchrony. These delays inregional shortening, post-systolic shortening, and dyssynchronouscontraction patterns, may be present regardless of QRS duration andhence can be used to identify candidates and responders even if the QRSis normal or only modestly widened.

To accomplish target pacing region identification, characterization,pacing optimization, and to identify candidates for CRT as describedabove, a myocardial motion mapping system may be employed (FIGS. 25, 27and 28). This system shows a multi-sensor, multi-electrode motionmapping catheter system 594. An acceleration sensing device, such as acatheter, LV lead, guidewire, guide catheter/catheter system, or acombination thereof, is used as a mapping device by positioning thedevice in various locations of the coronary sinus and LV vasculature(FIGS. 22 and 23). If desired, the acceleration sensing devices may beplaced in the ventricular chambers, preferably the LV. If a single ortwo axis sensing is used, the catheter can be rotated until the optimalsignal is detected. This may occur when at least one sensor is parallelto the axis of motion. Marker bands on the catheter could indicate theappropriate sensor orientation during the procedure or reference pointsas described previously could be used. Alternatively, 4-axis sensingcould be employed using two dual axis sensors as described above. Inthis configuration, three of the four axes are used to measureacceleration in the x-, y-, and z-orientations for 3-axis sensing andthe fourth channel may be used for sensing vibrational motion andvalvular events or pathology. Alternatively, 6-axis sensing with threeperpendicular dual axis sensors could be employed with three axes usedto detect displacement motion and three axes used to detect vibrationalmotion. The acceleration sensing device could be guidewire directed orsteerable, including tip deflection. Steerability is accomplished byhaving one-to-one, or as substantially close to this as possible,torqueability which can be accomplished with a braided catheter design.Tip deflection can be accomplished with wires 596 that run the length ofthe device and are affixed to the tip 598 (FIG. 27). A lever 602 in thehandle 604 of the catheter pulls the deflection wires 596, producingdeflection at the tip 598. Steerable deflection devices are familiar tothose skilled in the art. One or more sensors 606 and pacing electrodes(see FIG. 28) may be located immediately adjacent to each other or thepacing electrode may be located between the sensors. The region of thesensor in the mapping catheter may be highly flexible as described aboveto ensure that the sensors move in concert with the myocardium. Thecatheter 594 may further be equipped with a connector 608 that includesa hub 626 and a plurality of connectors 628, which may includeacceleration input connectors and electrode pacing connectors, that mayconnect to an microprocessor-based display system (see FIG. 28)including a manifold 632.

Referring to FIG. 28, the system 594 may further include a guidewireinsertion port 634 for guidewire 636, an optional port for contrastinjection 638 with an accompanying contrast port 646, an optional portfor balloon inflation and deflation 642 coupled to an optional venogramballoon 644. Also included are, e.g., three sets of sensor pairs 646,648, and 652, and three sets of electrodes 654, 656, and 658. Thesensors may be, e.g., 5-10 mm apart.

Referring to FIG. 28, the mapping acceleration sensing device 594 may bedirectly connected to a microprocessor-controlled display 612 thatpresents motion signals as acceleration 614, velocity curves 616, strainrate curves 618, and displacement curves 622, or some combination of thethree, with ECG data 624. The catheter and acceleration signal can alsobe input into a cardiac electrogram data acquisition system as may bealready used by the physician. The acceleration signal may be displayedas a voltage, similar to the cardiac electrogram. The onset of motionsignals may be easily displayed and compared to the surface ECG orintracardiac electrogram. Other reference points, as disclosed earlier,such as isovolumic contraction or valve closure, may also be displayed.(FIG. 25). The mitral valve regurgitation signal may further bedisplayed.

Also shown in FIG. 28 is close-up display 660, containing curves662-666. These curves display displacement data corresponding to thethree pairs of acceleration sensor data for mechanical mapping. In thesefigures, shortening is exhibited by a negative deflection.

Additionally, the mapping acceleration sensing device may be used tofacilitate coronary sinus access and cannulation of LV vein branchesthat feed into the coronary sinus, necessary steps in the mappingprocess and LV lead implantation. One method to achieve access to thecoronary sinus is conducted by dragging the mapping device from the AVnode superiorly along the base of the RA, the interatrial septum, or themedial RA wall. When the device moves over or is near the coronary sinusostium, the flow of blood from the ostium into the RA causes the deviceand/or tip to deflect or vibrate. The deflection or vibration may besensed by the acceleration sensor. In addition, once the device is inthe coronary sinus, it can be dragged or pushed along the inferior orlower border of the sinus. LV veins are detected by deflection orvibration by the sensor as it passes over the ostia, or branches, of theveins that drain into the coronary sinus. Alternatively, Doppler flowcrystals and MEMs pressure sensors, and anemometry flow sensors may beused for coronary ostium identification and LV vein branches. Thesesensors may also be combined with the acceleration sensor.

In one embodiment, motion signals may be derived from serial, orvarious, combinations of the sensors or sensor pairs, at a knowndistance of separation, e.g., 5-15 mm, and may provide multiplevelocity, displacement, and strain rate curves synched with a signalrelated to the start of systole such as single QRS or a contractionstimulus, or isovolumic contraction or mitral valve closure (FIGS. 23and 28). Systole may also be induced by a separate pacing catheterconductively coupled to the RA or RV septum. Regions of late motiononset relative to the onset of systole, determined by the R wave of theECG, septal activation on the EGM, or mitral valve closure, may beidentified. Also, regions of post-systolic shortening relative toisovolumic relaxation or aortic valve closure or the t-wave may beidentified. These late and post-systolic shortening regions maysubsequently be paced by electrodes between the sensors that identifiedthe late motion onset to elicit earlier activation. A new set ofdeformation curves may then be analyzed to confirm that the region ofearly activation pacing produces a more synchronous deformation.Further, the mid-frequency sensor measures the change in peakacceleration or velocity during the pacing of the identified targetregion, confirming a positive response to pacing (FIGS. 23 and 29). LVfunctional responses such as the myocardial performance index could alsobe measured during the test pacing (FIGS. 25 and 29).

Referring in more detail to FIG. 29, a chart is shown which may be usedto identify regions of late deformation and for assessing various othervariables related to performance. Curve 668 shows the ECG signal, curve672 shows the acceleration signal, where the left-most point is the zeropoint established by the QRS, “EP” refers to the ejection phase, “E”refers to early diastolic filling, “A” refers to atrial contractionfilling, time interval “A” measures the start of IVC to the end of IVR,and time interval “B” measures the time interval of the EP. MPI=(A−B)/B.Curve 674 shows the acceleration signal from region #1, showing inparticular the IVC time interval 676 and the peak IVC signal 678, aswell as the delayed mechanical shortening 682 in the target pacingregion. Referring to FIG. 30, an alternative mapping strategy may alsobe employed in which a simplified catheter with only a 1, 1 pair sensor,i.e., perpendicular to each other, or 3 sensors, each perpendicular toeach other, uniaxial, biaxial, or triaxial, is positioned in various LVand LV locations, e.g., septal to lateral in the coronary sinus andgreat cardiac vein). One sensor or sensor pair detects both the onset ofsystole or diastole, e.g., isovolumic contraction or relaxation; oraortic or mitral valve closure, and regional motion, or one of twosensors or one of two sensor pairs may be utilized to detect the sameonset of systole or diastole and the other sensor or sensor pair detectsthe regional motion. Alternatively, 3 axes of a dual axis pair may beused for displacement sensing and the 4^(th) axis may be used forvibration sensing. Alternatively, 3 axes of a 3-sensor device may beused for sensing displacement motion, and the other 3 axes may be usedfor sensing vibrational motion. No electrodes, one electrode, or twoelectrodes may be employed.

The regional motion from each location is recorded and stored anddisplayed. The motion at each location is compared against the QRS orendocardial pacing signal or the other systolic and diastolic referencepoints. The region of latest motion relative to the reference point isidentified and the lead is positioned to the same anatomical location.It should also be noted that epicardial mapping may be performed duringopen chest or minimally invasive procedures using the same principlesand sensors as above and appropriate device designs.

In another mapping strategy, a roving electrode (e.g., a guidewire) canbe positioned in various locations of the LV venous system and RVchamber and a test pacing stimulus applied to the myocardium. Referringto FIGS. 24 and 31, a guidewire 684 with an uninsulated region orelectrode region 686 may be connected to a pulse generator via connector688 and unipolar pacing may be performed. The guidewire may also havetwo uninsulated regions or two electrode regions for bipolar pacing. TheLV functional effects of the test pace can be measured by anacceleration sensor or a dual axis sensor pair perpendicular to eachother. The sensor or sensors may reside on a coronary sinus guidecatheter 692 (see FIG. 32) or on a catheter 700 within the lumen withinthe coronary sinus guide catheter 692 (see FIG. 33). The catheter 700may further have a pacing guidewire port 702 to accommodate guidewire684.

For example, the sensors 694 may reside on catheter 690, and may bebattery powered via battery 698. The sensors may number one, two, orthree, each perpendicular to the others, and may have outputscorresponding to a low-frequency (<20 Hz) signal 704, a mid-frequency(20-150 Hz) signal 706, and a high-frequency (>150 Hz) signal 708.

In this way, and referring to FIG. 34, the mapping system 710 is made ofthe acceleration sensing catheter 700 and the pacing guidewire 684. Thepacing guidewire may be powered by a pulse generator 712.

The output of the sensors may be connected to a signal conditioningmodule and battery power module 714 prior to input into the electrogramrecording 716 and display device 718. The output of the signalconditioning module may be analog signals if the electrocardiogramdisplay is to be used. The signal conditioning module may also be usedto correct or zero out the effects of gravity and the related tiltsignal. Output from the signal conditioning module may also be digital.A microprocessing chip in the conditioning module may also performfunctions such as forming a composite signal from multiple orientationaxes and integration. The catheter within the guide catheter may have aguidewire lumen through which a pacing guidewire may be used to testpace target sites. This catheter may also have a port for contrastinjection and may additionally have a balloon to perform an occlusivevenogram.

The sensor catheter 700 may also have a curved tip (e.g., with a90-degree bend) to facilitate access to tributary veins of the coronarysinus and great cardiac vein. The sensor catheter within the coronaryguide catheter could also be moved from septal to lateral within thecoronary sinus and great cardiac vein to identify general regions ofdyssynchrony. The pacing wire could then be directed to the tributaryveins of the coronary sinus or great cardiac veins or to the generalregion of delayed onset displacement motion. Variables such as the timefrom QRS onset to aortic valve closure (increase), peak accelerationduring isovolumic contraction (increase), the length of the isovolumiccontraction time interval (decrease), may be measured and are indicativeof a favorable or therapeutic response and a more optimal LV or RVpacing region (FIG. 25). The changes in time intervals of LV cycle(e.g., LV filling time) may be normalized by dividing by the cardiaccycle length or the square root of the cardiac cycle length or by someother method. Other measures of LV function as sensed by theacceleration sensor may be utilized including favorable changes in themitral regurgitation signal. The myocardial performance index(isovolumic contraction time plus the isovolumic relaxation time dividedby the ejection time) may also be used as a performance indicator withdecreases in indicator viewed as more favorable. When a region ofimproved LV function is identified, the pacing guidewire is left inplace and the CRT LV lead is inserted over the pacing guidewire to thetarget pacing region.

Some patients may respond with favorable LV mechanics with only RVpacing if it is performed in the correct location. The optimal RV siteto maximize LV function can be identified in the mapping strategy above.The acceleration sensor may reside in the coronary sinus while the RVpacing site is identified. This may eliminate the need for an LV lead insome patients.

Alternative embodiments are apparent from the above description such asseparating the higher frequency sensing accelerometer from themyocardial motion sensing accelerometer. Thus, referring to FIGS. 35 and36, a system is shown for identification of the target pacing region andoptimizing and characterizing the pacing response. The higher frequencysensing accelerometer may be incorporated into an LV lead or coronaryguide catheter 724 or guidewire (see guide catheter 724 of FIG. 36).Guide catheters and guidewires are commonly used in CRT procedures. Theacceleration sensor 726 on the guide catheter 724 may reside in theright atrium, at the coronary sinus ostium, or within the coronarysinus. The guide catheter 724 may be curved to facilitate access of thecoronary sinus. Additionally, valve closure sensing may be performedexternally with an acoustic sensing device.

The remainder of the system may be the mechanical mapping catheter 722,which includes a guidewire lumen 728 with ports 732 and 734, a pacingelectrode 736, acceleration sensor 738, e.g., one that is perpendicularto the catheter's longitudinal axis, an optional acceleration sensor742, an electrode connector 744, and a sensor connector 746. Thecatheter 722 may be angled to facilitate LV vein cannulation. FIG. 37shows one potential arrangement of sensor 738 and guidewire lumen 734.Alternatively, as shown in FIG. 38, an electrode 736′ may be disposed atthe distal tip of the catheter 722 while a sensor 738′ is disposedproximal thereof.

Thus, in still another embodiment, and referring in particular to FIGS.39 and 40(A)-(B), an acceleration sensor 752 for mid- to high-frequencysensing of the onset of systole and diastole and mitral regurgitationmay be incorporated into a coronary sinus guide catheter 750. A set ofconductive elements 748 for the sensor 752 may be coupled to a connector754 that is used to connect to the microprocessor display.

A myocardial motion sensing accelerometer 746 is incorporated into amapping catheter or LV lead 760. In the LV lead design, the conductiveelements 754 for the low-frequency myocardial motion accelerometer 746may be coupled to a proximal lead connector 758. The connector of thelead may be compatible with typical CRT IPGs (e.g., IS-1), although thisis not necessary; in fact, the sensor connector and sensor signal may bedesigned to generally not interfere or even be read by the CRT IPG.Element 762 indicates the CRT pacing and sensing connector area.Connector 756 is also shown, which indicates a removable LV leadaccelerometer connector for signal display.

Placement of the catheter is shown in FIG. 39, relative to the coronarysinus 770 and the coronary ostium 780. An optional pacing electrode 764is shown, as well as guidewire, which may employ an integrated sensorfor low-frequency myocardial motion sensing in the manner of FIG. 24.

During placement, the lead connector may be coupled to the accelerationsensor microprocessor display for visualizing myocardial motion signalsand optimizing the LV lead placement. Alternatively, the LV lead sensormay be conductively coupled to a removable connector in the proximallead portion, thus allowing the measurement of myocardial motion duringlead placement. The LV lead sensor connector may also be capped aftermapping and for long-term implantation. Alternatively, the sensors inthis design may be RF MEMs accelerometers that are inductively-poweredand which wirelessly transmit the data, thereby eliminating the need forconducting wires or elements.

FIG. 40A shows an embodiment of a guidewire-mounted sensor for use withthe above guide catheter. In particular, guidewire 766 may have at adistal tip a soft tip 774, adjacent to which is a flexible coil section768, within which is a sensor 772.

FIG. 40B shows an embodiment of an alternative LV lead design 790 ormapping catheter which may be used with the above guide catheter. LVlead 790 has at a distal tip a flexible coil 768′ which terminates at adistal tip in a soft tip 774′. Within the flexible coil 768′ is a sensor772′. Electrode 776 may be provided adjacent to but proximal of theflexible coil 768′.

Referring to FIGS. 41-44, another alternative mapping device system andmethod for optimizing and identifying a target pacing region may includea venous guide sheath, a double lumen pacing catheter, and anacceleration sensing guidewire. The system also identifies the coronaryostium and coronary sinus vein branches using the accelerometer sensor.

A venous sheath 838 is used to gain access to the right atrium (“RA”)via the subclavian or femoral vein. This sheath may include an optionalmid- to high-frequency acceleration sensor 842. The sheath may haveappropriate bends to facilitate entry into the coronary sinus.

A sensing guidewire with one or more sensors 792, 794, at least onebeing a lower-frequency sensor disposed on a highly flexible tip 796(e.g., a coil tip 796), is placed into the RA via the sheath. Thelower-frequency sensor may be multi-axis. An optional additional sensormay also be provided to sense low or high frequencies. The distancebetween the sensors may be, e.g., 5-10 mm. The sensor guidewire 800 isused to identify the coronary ostium (as above) by detecting the flow ofblood into the RA and is then inserted into the coronary sinus. Theguidewire 800 is shapeable or may have a slight bend 798 in the distalregion, e.g., a 135 degree bend. The sensor guidewire 800 can then bepositioned along the coronary sinus and into the LV veins for measuringmyocardial deformation and velocity and comparing it to the referencepoint signal, i.e., vibrations related to isovolumiccontraction/relaxation and/or valve closure, provided by the guidesheath sensor. Alternatively, a double lumen catheter 802 may bepositioned into the RA or coronary sinus over the sensor guidewire 800and an optional higher frequency sensor 804 on this device is used toprovide reference signals.

The sensing guidewire 800 maps regions of late deformation, and mayfurther include an electrical connector 806 and an optional proximalsensor 808 for sensing perivalvular events.

The double lumen pacing catheter 802 contains two guidewire lumens 812and 814, lumen 812 serving as a guidewire sensor lumen and lumen 814serving as a coronary wire sensor lumen, with openings in the distal tip816, a pacing electrode 818, an optional coronary sinus occlusionballoon 822 with inflation port 824 for obtaining a venogram, optionalacceleration sensors 804, such as for measuring high frequency signals,and the same may also be steerable. The overall diameter may be, e.g.,2-3 mm. Referring in addition to FIG. 43, a hub 826 may be provided witha sensor guidewire port 828, a coronary wire port 832, a high-frequencysensor connector 834 coupled to conductors within a lumen 834′, and anelectrode connector 836 coupled to conductors within a lumen 836′.

The double lumen pacing catheter is placed in the coronary sinus overthe sensing guidewire. The venous guide sheath may be advanced into theostium prior to double lumen catheter placement or LV lead placement.The balloon of the double lumen catheter may be inflated and a venogramobtained by injecting contrast though one of the catheter's lumens.After a target pacing region is identified in an LV vein with the sensorguidewire, the double lumen pacing catheter is advanced over the sensorguidewire to the region. Pacing is conducted with the double lumenpacing catheter and optimization of the target pacing site and intervalsis carried out. A second guidewire for the LV lead is then advanced downthe second lumen of the double lumen pacing catheter and into the targetregion. The pacing catheter and sensor guidewire are then removed,leaving the lead guidewire in place. The LV lead is then positioned intothe target region over the second guidewire. With the double lumenconfiguration, the sensor guidewire can be made larger and moremaneuverable without limiting the ability to place a small over-the-wireLV lead in the target region.

Myocardial motion mapping would be ideal for LV pacing that involvesmultiple electrodes. CRT may be optimized by pacing and early activationof all late deforming LV sites. Deformation mapping may identify theseregions and then guide the placement of electrodes in the areas for CRT.Alternatively, if the mapping catheter is also the LV CRT lead, then themapping lead may be left in the optimal location and connected to theIPG.

In the above catheter and implantable embodiments, miniaturization ofthe sensor is critical and wafer or die scale packaging of the sensorcomponent is preferred. Consequently, where the MEMs sensor is attachedby conductive elements to a connector and then to a microprocessorand/or display device, specific designs for attachment of the conductiveelements to the silicon substrate of the wafer package chip must beutilized. It is particularly important to minimize the number ofconductive elements that require attachment to the acceleration sensor.Potentially, at least 5 connections are required for a 3-axis sensor;however, using multiplexing circuitry or averaging the signal from allthree sensors can eliminate two wires thus reducing the connections tothree. In one embodiment, solder balls are integrated into the sensordie. A flex circuit with bonding pads that aligns with the solder ballsis used for attachment to the die. The bonding pads of the flex circuitare in electrical communication with conductive elements that are usedto attach to connectors at the proximal end of the catheter. The diepart is flipped onto the bonding pad, which is heated to allow the flowof the solder and bonding of the die to the flex circuit.

Alternative methods for conductive element attachment of MEMs sensorsare provided in, e.g., U.S. Pat. No. 5,715,827 for a pressure sensor.FIGS. 45-46 show one potential embodiment to accomplish attachment foran acceleration sensor. The sensor chip 840 has an elongated siliconsubstrate 842. V or U-shaped via wells 844 are etched using siliconetching techniques into the elongated substrate 842. The wells 844 runthe length of the elongated substrate 842 and abut against semiconductoroutput connectors 846 from the acceleration sensor integrated circuitry848. Usually a sensor has three connectors: one for power, one forground, and one for output. Additional connectors may be used for eachaxis output. A single output connector with a multi-axis sensor may havecircuitry for multiplexing each axis output. Alternatively, the outputmay be an average or composite of the different axes. Hence three wellsare etched and made continuous with the sensor circuitry for power 852,ground 854, and output 856. The silicon substrate well bottom and wallsare doped to provide conductivity. The wells are then coated with metal858 through a sputtering process or via other such processes. Forexample, a sputtered chromium and gold coating may be used. Theuninsulated terminal length of small gauge copper wires 862 (e.g., 48AWG) or a doped polymer flexible connector is then soldered to thewells. An epoxy or glass lid 864 or other such material, such as a waferor polymer cap, may be bonded to the top of this chip/wire hybrid toprotect the structure from damage. These wires or conductive polymersare now conductively coupled to the chip sensor and can be extended downthe length of a catheter component and attached to a connector that willplug into a microprocessor data acquisition component.

FIG. 47 shows a circuit diagram of a system that may be employed inembodiments of the invention. In particular, FIG. 47 shows a pin layoutfor a sensor chip that may be employed, along with the x-, y-, andz-outputs from the sensor chip.

FIG. 48 shows a portion of a flexible circuit board that may employ thesensor chip. The sensor chip is mounted on the left side of the board,which is the portion that enters the patient. Capacitors C1-C5 areemployed and are disposed directly adjacent the sensor chip as may beseen.

As noted above, the general design of the accelerometer sensors measurescapacitance changes due to the movement of a proof mass beam with a sidearm interdigitated between two capacitor plates. As the proof mass beamand side arm move with acceleration or vibration, the capacitancechanges and this signal can be output as a measure of motion.

In this way, the sensor chip can measure extremely small changes incapacitance and thus acceleration. One of the functions of capacitorsC1-C5 is to decouple certain voltages so that only signals from thesensor chip are registered at the signal analysis system (another is toprovide the circuitry for the passband so that only a certain bandwidthof signals are passed). To ensure that a minimum of stray noise voltageis picked up by the conductive leads, capacitors C1-C5 are disposed asclose to the chip as is practical, so that the signal travel distance isas short as possible.

Using the accelerometer sensors above, the frequency dynamics of theisovolumic contraction phase and pathologic cardiac vibrations may alsobe monitored.

A graph of the cardiac filling and pumping cycle and valvular events isshown in FIG. 50. The cardiac LV pumping cycle (LV cycle) is dividedinto two periods: diastole and systole. Diastole is the filling periodand systole is the ejection period. Five different phases of the LVcycle can be identified within the systolic and diastolic periods:isovolumic contraction 56, ejection 58, isovolumic relaxation 62, earlydiastolic filling (rapid filling) 64, and late diastolic filling (atrialcontraction) 66. Mitral valve closure 68 (“MVC”) occurs duringisovolumic contraction and aortic valve closure 72 (“AVC”) occurs duringisovolumic relaxation. Also shown in the figures are the leftventricular pressure LV Press 74, a regular electrocardiogram ECG 76,the left ventricular end-diastolic volume LVEDV 78, the left ventricularend-systolic volume LVESV 82, a graph depicting heart sounds 84, theleft atrial pressure LA Press 86, the aortic pressure 88, a-wave 92,c-wave 94, and v-wave 96.

During the isovolumic contraction phase, the ventricles begin tocontract but there is no ejection of blood into the aorta. As themyocardial cells contract, they generate a force that results in thedevelopment of wall tension in the ventricles. This contraction causesvibrational motion that is related to cardiac and ventricular resonance.The resonance is related to ventricular diameter, wall thickness, andmechanical properties of the muscle, such as viscoelasticity. Thusmonitoring this resonance or vibration may be useful for determining thehealth or status of the ventricle. For example, in cardiomyopathy theventricle may dilate and the LV diameter increases. This may bemonitored as a reduction in the resonance frequency and changes(increases or decreases) would indicate improving or worsening heartfailure. This vibrational motion in its audible form is thought to bethe cause the first heart sound and is associated with mitral valveclosure. The vibrations may be related to abrupt changes in accelerationand direction of flow of the blood in the ventricular chamber.

In the normal heart, the isovolumic contraction starts within about10-20 ms of ventricular depolarization (i.e., the R wave on the ECG),and lasts from about 30 milliseconds to 75 milliseconds depending on theheart rate and contractility of the ventricles. In the cardiomyopathicheart, the time interval of the isovolumic contraction phase isprolonged.

The frequency of the vibration motion that occurs during isovolumiccontraction changes with the development of myocardial tension.Time-frequency transform analyses of this motion indicates that in thenormal heart the frequency rises from about 20 Hz to about 150 Hz in thefirst 20-50 ms of the isovolumic contraction period. There areapproximately 5-8 cycles that occur in this time period. Referring toFIG. 52, vibrational acceleration signals from the epicardial surface ofthe LV are shown during isovolumic contraction as measured with anaccelerometer. The amplitudes of these cycles ranges from about 50 to100 milli Gs (1 G=9.8 m/sec²) up to about 1 to 3 Gs.

Analysis of the frequency dynamics of the ICP can be used tocharacterize cardiac function and myocardial health. Thus the startingfrequency of the ICP vibration motion signal, the peak frequency, andthe time interval of change in frequency, may be affected by themechanical and contractile properties of the ventricles. Peak frequencyof this vibrational motion during ICP is probably related to the tensionthat develops in the ventricles and hence may be related to thecontractility of the myocardium. Referring to FIG. 51, which shows thecorrelation of peak frequency during the isovolumic contraction phaseand the change in pressure rise in the LV in dP/dt, a correlationbetween dP/dt (a surrogate for myocardial contractility) and the peakfrequency during the ICP exists. The time interval over which thisfrequency rises may also be a measure of contractile function. Thestarting frequency during this phase may be related to the baselineventricular wall tension.

In diseased hearts, such as those with cardiomyopathy, the contractilefunction of the myocardium is reduced, and changes in the thickness anddiameter of the LV can cause an increase in the wall tension. Thesechanges also lead to an increase in the time interval of the isovolumiccontraction phase. Therefore, monitoring changes in the frequencydynamics of the isovolumic contraction phase can give insights into thecardiac and LV function in cardiomyopathy patients. This frequencyinformation may also be used to monitor the effects of therapy, such asCRT, and to identify target pacing regions in CRT. Similarly, monitoringchanges in the time interval of the ICP can be indicative of cardiacfunction and the response to therapy. Because the frequency and timeinterval can be measured without having an accurate measure ofamplitude, this approach may be preferred.

Similarly, vibrations from pathologic heart conditions may also beindicative of cardiac function and response to therapy. The frequency ofthe mitral regurgitation signal in cardiomyopathy is related to thedegree of LV dilation and the back flow of blood through the mitralvalve. Therapies that reduce dilation and or back flow, e.g., CRT orpercutaneous annuloplasty, show a favorable response in the frequencyand frequency dynamics of this vibration motion. The third or fourthheart sounds are also a vibrational motion that may be present incardiomyopathy. Changes in the presence and frequency of these signalsmay be indicative of cardiac function and response to cardiomyopathytherapy. For example, the frequency dynamics of the S4 correlates withventricular mass which can be indicative of worsening (increased mass)or improving (reduced mass) heart failure. The frequency of the S1 mayalso correlate with LV stiffness.

Acceleration sensors are well suited for measuring ICP vibration motionand pathologic cardiac vibrational motion. The sensor is preferablybased on micro electromechanical (MEMs) principles, which allows forminiaturization and low power consumption. The design and fabrication ofcapacitance MEMs-based accelerometers are known to those of ordinaryskill in the art and may be used in this system. MEMs-basedaccelerometers are typically fabricated from silicon or semiconductorsubstrates. The sensor may be fabricated from a radiation-resistantsemiconductor as the sensor will be implanted in many cases underfluoroscopic guidance. The general design of the accelerometer measurescapacitance changes due to the movement of a proof mass beam with a sidearm interdigitated between two capacitor plates. As the proof mass beamand side arm move with acceleration or vibration, the capacitancechanges and can be output as a measure of motion. These accelerometersare fabricated from silicon substrates which allows for single-chipfabrication of the sensor with the necessary signal processingcircuitry. This single-chip design increases the device's sensitivity asextremely small changes in capacitance can be measured. MEMs-basedacceleration sensors as described above can measure milli Gs (1G equals9.8 meters/sec²) which is suitable for myocardial accelerationmeasurements which may occur between 50 and 2000 milli Gs or higher.While a capacitive sensor may be used in this embodiment, otheracceleration sensor designs could be utilized and are known to thoseskilled in the art. For example, a thermal acceleration sensor couldalso be utilized in which the proof mass is a gas. Also, while a multiaxis (2 or 3 axes) is preferred, single axis sensors could also be usedand oriented appropriately to detect different axes of motion. It shouldalso be noted that a pressure sensor can sense vibrational motion andmay also be used to indirectly monitor the frequency dynamics of theICP.

Preferably 3-axis sensing is utilized. A more accurate measurement ofpeak amplitude can be measured by calculating the composite accelerationvector of each axis (x, y, and z). This can account for thegravitational acceleration and its effects on sensor tilting. Thecomposite vector can be calculated by taking the square root of thex-axis measurement squared, plus the y-axis measurement squared, plusthe z-axis measurement squared. This peak amplitude calculation can beapplied to both the vibrational motion and the displacement motion. Thismay be particularly accurate during the implantation of an LV lead forCRT therapy when the patient is lying still on a procedure table. Herethe sensor measures the peak in the LV veins or coronary sinus.

Vibrational motion related to ICP may be sensed in a frequency rangegreater than 10 Hz and up to 200 Hz. The sensors may be tuned to sensethe desired range. Alternatively, band pass filters or digital signalprocessing could eliminate or reduce frequency bands that are lower orhigher.

Sensors can be mounted on devices that access the heart or are disposednear the heart (e.g., via an esophageal probe) to optimally detect thedesired ICP. In one embodiment, a uniaxial sensor is oriented such thatthe axis of acceleration is parallel to the radial plane of the heart,i.e., toward the center of the ventricular chamber. Alternatively, twouniaxial sensors could be oriented longitudinally, e.g., anatomicallybase to apex, and radially, or three uniaxial sensors, orientedlongitudinally, radially, and laterally, may be used. A single triaxialsensor could measure all these components. In another embodiment, twodual-axis sensors are oriented perpendicularly to each other in thecatheter or LV lead device. This provides three axes in the appropriateplanes.

The acceleration sensor is coupled to a signal processing and poweringmodule. A battery may be used to power the sensor but other sources mayalso be utilized. Acquisition of the signal may be triggered by aventricular depolarization signal from a cardiac electrogram. Forexample, the R-wave from a surface cardiac electrogram (ECG) may serveas a trigger. The vibrational acceleration signal may then be acquiredfor about 100 ms. A shorter time interval for sampling could also beused (e.g., 50 ms) to focus in on the initial frequency associated witha rise in ventricular wall tension. A longer sampling interval may beused to acquire the mitral valve regurgitation and third/fourth heartsound signals. The R-wave or another signal of ventriculardepolarization can also be used to provide a zero point for theacquisition of acceleration signals, and will also factor in the effectsof gravity and tilt of the sensor. Thus, the accelerations signalmeasured around the time of the R-wave signal can be used as an off-setcorrection for subsequently acquired signals.

The signal may be first amplified by an isolation amplifier thatprovides an isolation barrier to reduce the potential for electric shockhazard. The signal may be then band-pass-filtered to remove lowerfrequency (e.g. <10 Hz) and high frequency (e.g. >300 Hz) signals. Thesignal may then be subject to processing, both digital and analog, tocharacterize and identify the frequency changes of the ICP.Representative analog processing may be used to measure the spacingbetween signal crossing above a certain threshold (e.g. +/−10-50 milliGs). The time interval between the first two crossings may be indicativeof the base line frequency. The shortest time interval between crossingsmay be indicative of the highest frequency. Digital signal processingcould include the mathematical computations such as time-frequencytransforms (See, e.g. “Time-frequency transforms: a new approach tofirst heart sound frequency dynamics”, IEEE transactions in BiomedicalEngineering, vol. 39, no. 7, July 1992) with peak frequencyidentification. Taking the mathematical derivative of the accelerationsignal, analog or digital, would identify jerk motion. Measuring thejerk signals and the time difference between these signals couldsimilarly characterize the frequency signal.

The output of the signal processing could be digital or analog and couldbe displayed on a workstation for graphical display of the ICPvibration. For example, an analog output would allow the signal to beinput into a multi-channel electrogram recorder. The workstation wouldtypically have data storage and analysis capabilities. Alternatively asingle number, such as the peak frequency or peak frequency divided bymeasured time interval, could be displayed. An accurate peak amplitudecould be multiplied or divided by the time interval or frequency, orboth multiplied and divided by the time interval or frequency, to yielda value related to LV function and improved response to therapies suchas cardiac resynchronization therapy. Changes in this number would beused to guide the therapy and make changes such as the position of theLV pacing lead.

Devices and systems for incorporating acceleration sensors are describedin the pending non-provisional patent application incorporated byreference above. The disclosed devices could be used to characterize thefrequency dynamics of the ICP and pathologic LV vibration motion.Descriptions of exemplary devices are representative of accelerationsensing devices for the ICP and pathologic heart sounds.

An acceleration sensor may be incorporated into a catheter for insertioninto the LV veins such as the coronary sinus, great cardiac veins, ortributary vessels of these veins. The acceleration sensor may also beincorporated into a probe inserted into the esophagus, which liesimmediately behind the posterior surface of the heart. The accelerationsensor may be a single dual axis sensor oriented perpendicularly to thelong axis of the catheter. This orientation of the sensor allows themeasurement of longitudinal and radial acceleration signals, whichpredominate in the heart, from the coronary sinus and great cardiacvein. The catheter probe may have a guidewire lumen; however this maynot be required for an esophageal probe. The catheter or esophagealprobe may monitor the frequency dynamics of the ICP and assess LVfunction. The esophageal probe could be used to monitor the ICP andthird and fourth heart sounds to detect ischemia, for example duringsurgical procedures. For example, a decrease in amplitude of the ICPsignal as measured by the esophageal probe could be indicative ofischemia. Because the esophageal probe would not move with heartcontraction and the patient would be still during surgery, more accurateamplitude measures could be obtained.

In addition the catheter and esophageal probe may be used to identifytarget LV pacing regions for CRT using a pacing guide wire. Referring toFIG. 53(A)-(E), a guide catheter 102 is shown with a proximal end 104.An acceleration sensing catheter 100, that may be inserted into theguide catheter 102, is shown with a pacing guidewire port 114 and aguidewire lumen 108. The guidewire lumen may have a diameter of, e.g.,0.014″ to 0.038″. The catheter 100 also has a sensor assembly 106 thatmay have one, two, or three acceleration sensors disposed within, thesensors being disposed perpendicularly to each other. The catheter 100may have a bend near the distal end thereof, as shown in FIG. 4(B). Thebend may be from 0 degrees to 90 degrees. At the proximal end ofcatheter 100 is also disposed a power source such as a battery 126, aconnector for lower frequency (<20 Hz) signals 124, a connector formid-frequency (20 Hz to 150 Hz) signals 122, and a connector for highfrequency (>150 Hz) signals 118.

A pacing guidewire 120 is shown in FIG. 53(C) having an insulated region128 and an uninsulated region 132 for pacing. A flexible conductor 134is disposed at the proximal portion of the guidewire 120, as well as aconnector 136 to a pulse generator.

FIG. 4(D) shows a more detailed view of the catheter 100, showing theguide lumen 108 and an alternate sensor assembly 112. The sensorassembly 112 is perpendicular to the long axis of the catheter 100.

Referring to FIG. 53(E), the mapping system 710 is made of anacceleration sensing catheter 700 and a pacing guidewire 684. The pacingguidewire may be powered by a pulse generator 712.

The output of the sensors may be connected to a signal conditioningmodule and battery power module 714 prior to input into the electrogramrecording 716 and display device 718. The output of the signalconditioning module may be analog signals if the electrocardiogramdisplay is to be used. The signal conditioning module may also be usedto correct or zero out the effects of gravity and the related tiltsignal. Output from the signal conditioning module may also be digital.A microprocessing chip in the conditioning module may also performfunctions such as forming a composite signal from multiple orientationaxes and integration. The catheter within the guide catheter may have aguidewire lumen through which a pacing guidewire may be used to testpace target sites. This catheter may also have a port for contrastinjection and may additionally have a balloon to perform an occlusivevenogram.

A pacing guidewire would be positioned in various regions of the LVveins to elicit contractions. The LV response to this pacing may bemeasured by monitoring the frequency dynamics of the vibrational motionduring ICP with the catheter. FIG. 54 indicates this technique. Inparticular, the figure shows improved myocardial functionpost-stimulation as determined by an increase in the peak frequency ofthe isovolumic contraction phase. The left side of FIG. 54 shows thepre-stimulation signal, and the right side shows the post-stimulationsignal. As can be seen, the peak frequency increases post-stimulationfrom about 80 Hz to about 170 Hz (note that the peak frequency isrelated to the time interval of the threshold crossing). Also seen is ashortening of the time interval of the isovolumic contraction phase fromabout 100 ms to about 75 ms. The isovolumic contraction phase signal wasacquired by sampling over a 100 ms time period after the onset of theQRS ECG signal.

Alternatively the frequency dynamics or amplitude could be measured withthe esophageal probe. LV regions associated with changes in the ICPfrequency indicative of improved LV function would be target pacingregions. For example, an increase in the peak frequency, the rate ofchange of the frequency over time, a reduction in the baselinefrequency, or some combination of the three may be indicative ofimproved LV function. Similarly, the location of implantation and pacingof the RV lead or right atrial lead may also be optimized by test pacingand monitoring the frequency dynamics of the ICP.

The change in the presence or frequency of the third or fourth heartsounds may also be indicative of a favorable response to pacing andhence help identify a target pacing region. Changes in the frequency andduration of vibration motion related to mitral valve regurgitation mayalso help guide therapy and target pacing regions. Thus a reduction inthe frequency or duration of the signal may be indicative of a favorableresponse.

In more detail, referring to FIG. 55, which shows myocardial motionmapping, display output, and target pacing identification through aroving pace guidewire, changes or variables indicative of a favorable LVfunctional response may be sensed at the low, mid, and high frequencyranges. In the figure, “MVR” refers to mitral valve regurgitation, “IVC”refers to isovolumic contraction, and “IVR” refers to isovolumicrelaxation. The top curve is ECG 556, curve 558 shows the velocity or LVdisplacement, obtained by integrating the acceleration signal, curve 562shows LV function, and curve 562 shows the sounds of mitral valveregurgitation.

ECG 556 shows the QRS and T waves along with a pacing spike 566 which isdelivered in the LV vein region. Examination of curve 558 shows adelayed onset motion 568 but a lessened delayed onset motion 572following the pacing spike. Curve 562 shows a value of ejection phase574, as measured by the time between the MVC or IVC and the AVC or IVR,and then a longer ejection phase 576. Here the MPI can be seen to beMPI=(a+b)/c. Curve 564 shows a reduced MVR signal 578 as compared to thepre-pacing MVR signal 582. Finally, it is noted that paced signal showsno third heart sound.

The accelerometer for monitoring the frequency dynamics of heart soundsmay also be integrated into a pulse generator of a CRT/defibrillatordevice, including leadless defibrillator devices implantedsubcutaneously over the chest. This device would be implantedsubcutaneously on the chest or abdomen and would sense the vibrationalmotion of the heart sounds (S1, S2, S3, S4 and valvular murmurs) tocharacterize the peak amplitude and frequency. This pulse generatorcould perform software algorithms to characterize the frequency dynamicsof these sounds and assess LV function and pathology includingcontractility, mitral regurgitation, LV thickening etc. The start ofsystole as measured by the cardiac electrogram (internally or externallymeasured by the IPG) could be used to synchronize the accelerometersensor with the onset of systole. Thus the S1 vibrational motion asmeasured by the accelerometer would occur within a few milliseconds ofthe sensed electrogram. Thereafter, additional vibrational motion (S2,S3, and S4 and murmurs) could be identified based on there occurrenceafter the electrogram and S1. Additional a time window of sensing withthe acceleration sensor (e.g. 100 ms) could be sensed to measure onlythe S1. This information could be uploaded via a radiofrequency link toprovide a read out to the physician for monitoring purposes. The RFcommunication device that would acquire the data from the pulsegenerator could reside at the patients home and be transmitted to aphysician or central monitoring station via the internet or a phone linelink. The accelerometer could be used to sense that the patient in whomthe device is implanted is not moving and is in the proper orientation(e.g., upright or lying flat) prior to the acquisition of the heartfunction data.

A stand alone implantable accelerometer device (IAD) (i.e., notincorporated into the IPG/CRT device) could also be implantedsubcutaneously or subpectorally and not require a transvenous lead orextension. For example, referring to FIG. 56(B), a subpectorally-placedIAD 208 may be disposed adjacent the pectoral muscle 210 of a patient.The device 208 may have an acceleration sensor 220, an RF communicationstransceiver chip 214 and antenna 212, signal processing and controlcircuit 218 with digital memory storage capacity 222, and a battery 216.Referring to FIG. 56(A), the device 208 may be contained in ahermetically sealed titanium shell 202. The device could have a curvedform factor as shown in FIG. 56(A) to lie flat along the chest. Theantenna could be wire wound or integrated onto the communications chip.The sensor may be a low-power consumption 3-axis MEMs device. The devicemay sense at a frequency greater than about 10 Hz to avoid accelerationsignals due to respiration or displacement motion of the heart. Optionalelectrodes 204 and 206 with accompanying circuitry may be employed toobtain a surface cardiac electrogram. As shown in FIG. 56(A), theelectrodes would reside on the side of the device that is orientedtoward the heart. 3-7 years of battery life may be provided, althoughvariations are within the scope of the invention. Low power RFtransceiver chips (e.g., applications specific integrated circuits or“ASICs”), such as that produced by Zarlink Semiconductor of San Diego,Calif. (e.g., model number ZL 70100) can improve battery life and datatransmission of the device. The device need not require leads thatextend into the heart and may reside in proximity to the left ventricleafter subcutaneous or subpectoral implantation. The device may sense andmeasure vibrational data related to LV function and pathology such asfrequency dynamics, time intervals, and peak amplitude of the ICP, S1,S2, S3, S4, and valvular murmurs. The surface of the device orientedtoward the heart may have electrodes for sensing the surfaceelectrocardiogram and the onset of the QRS. Similar to the inventor'sprior applications, incorporated by reference above, this allows for theidentification of the S1 as the vibrational signal immediately followingthe QRS. The subsequent vibrational signals could also be identified andtime windows of sensing could also be incorporated to focus on thedesired heart sound/vibrational motion. A narrow window of sensing thatascertains only the S1 vibrational signal may be preferred to avoidsignal distortion or noise caused by movement of the heart against thechest during displacement or ejection. The S1 may be sensed and averagedover several to many beats. The vibrational motion could be sensedcontinuously or periodically. Periodic sensing may be used to extendbattery life. The data may be collected at the same time during each day(e.g., at bedtime during quiet resting). The acceleration data could bestored or uploaded via an RF link in real time. The accelerometer couldbe battery-powered or inductively-powered with an RF coil. The datacould be periodically or in real time uploaded with an RF link to asignal processing station for monitoring of the LV function such ascontractility and pathology such as LV mass/thickness and valvularmurmurs. The uploaded data could be sent via the internet to a physicianor central monitoring station or both. The device could also interfacewith a cell phone type device for the same purpose of uploading datafrom the IAD.

Analysis of the frequency dynamics of the ICP (catheter or esophagealprobe) could also be used to optimize the pacing timing intervals forCRT (A-V and V-V). Thus the V-V timing could be set to 0 ms (bothventricles paced simultaneously), and the AV delay could be variedbetween about 100 and 140 ms. The AV delay that provides the highestpeak frequency (or some other measure of improved cardiac function)during ICP could be chosen. Subsequently the A-V delay would be fixed atthe previously determined optimal value and the V-V delay could bevaried between −30 ms (LV to RV; thus −30 means the RV was paced 30 msbefore the LV) to +30 ms LV to RV. Again the interval causing thehighest peak frequency during ICP may be chosen. An automated systemcould run through the various pacing timing intervals and monitor thefrequency dynamics of the ICP and provide optimal timing intervals.

The acceleration sensor may also be incorporated into the lead of a CRTor CCM device. The sensor may monitor the frequency dynamics of the ICPto ascertain cardiac function in a manner similar to the above. Thesensor could also be used to test different timing intervals for theatrioventricular and interventricular timing. The sensor may also beintegrated into other implantable devices such as cardiac stents orepicardial leads to monitor cardiac function through analysis of thefrequency dynamics of the ICP and pathologic heart sounds.

FIG. 57 shows how information from the acceleration sensor can beemployed to develop a predictive algorithm for determining CRT response.The peak amplitude and peak frequency are seen at LV site #3. A linearthreshold relationship, or other such relationship, may be employed todetermine when LV lead placement is acceptable for any given patient. Ifthe amplitude is high enough at a certain frequency, and thus is abovethe linear threshold, then the response may be deemed to be good and thesite chosen as a location for an LV lead.

A 3-axis acceleration sensing coronary sinus catheter can be used todirectly measure dyssynchrony of the heart and LV globally from thecoronary sinus. Dyssynchrony may be a better assessment of response toCRT therapy than indices related to LV function, as tissue Dopplerstudies have correlated improvement in synchrony with improvements inresponse to CRT, including: LV remodeling, six-minute walk test,ejection fraction, and other clinical and physiologic outcomes.Measuring synchrony with the acceleration sensing catheter can also beused to guide LV lead placement and optimize timing intervals.

Motion of the heart may be defined as acceleration, velocity, ordisplacement. Much of the motion of the heart is longitudinalacceleration from the base to the apex, with the region of the mitralvalve plane descending inferiorly. Radial acceleration to stiffen theventricle also occurs at the mitral valve plane as well as rotationalacceleration of the heart as it contracts longitudinally. Thus global LVmotion, or acceleration, occurs in three different axes. Because thecoronary sinus runs along the AV groove at the mitral valve plane thisglobal LV motion or contraction at the mitral valve plane can be sensedwith a 3-axis accelerometer device placed in the coronary sinus. A threeaxis accelerometer is ideally suited to measure the three components ofcardiac motion. Some of the dyssynchronous motion can be measured in thelower frequency displacement motion (less than about 20 Hz). Each axisof acceleration can be measured independently or a composite such thesquare root of axis X squared plus axis Y squared plus axis Z squared(referred to as RMS in figures). The acceleration signal from each axiscan be integrated to determine velocity and a composite of the velocitysignal can be formed. The frequency changes below 20 Hz between 20 Hzand 200 Hz, related to myocardial motion, measured at the coronary sinuscan also be used to assess dyssynchrony using a multi-axis accelerationsensing coronary sinus catheter.

Prior disclosures (e.g. Chinchoy 20040172079 and Yu 6,923,772) useaccelerometers to measure ventricular wall motion at more than onelocation and compare acceleration between the two walls. The greater thedifference in the time between the two wall accelerations the lesssynchronous the contraction is. It is not practical, particularly forthe different left ventricular walls, to place multiple accelerometers.This disclosure provides for a simpler approach using a single triaxialaccelerometer to be placed in the coronary sinus, a readily accessiblevessel, using a catheter device.

Also, prior disclosures (Chinchoy U.S. Pat. No. 6,871,088; Marcus U.S.Pat. No. 6,978,184) use the accelerometer signal as a surrogate forhemodynamic parameters of the heart such as dP/dt or ejection fraction.Hemodynamic changes, such as an increase in dP/dt, do not necessarilypredict the outcome or response to CRT therapy. Dyssynchrony, which is ameasure of how coordinated or uniformly the ventricle contracts, doespredict outcome and response to CRT. Hence a direct measure ofdyssynchrony and identification of dyssynchrony indices would bepreferred.

A coronary sinus catheter with an integrated acceleration sensor can beconstructed using a silicon-based 3-axis capacitive based MEMS sensor(e.g. ST Microelectronics LIS302AL). The sensor and electronics can besurface mount packaged into a 3 mm×5 mm housing. The sensor housing orexternal package can be shaved or milled by 0.005 to 0.010 inches alongthe length on each side and a chamfer can be cut into the top edge at upto and approximately 0.015 inches per side without affecting performanceof the device. This allows the construction of a smaller diametercatheter to facilitate placement in the coronary sinus. The accelerationsensor can be surface mounted with the appropriate capacitors, aspreviously described, onto a circuit board approximately 0.100 incheswide and up to about 1.000 inches long. The circuit board also hascontacts for surface mounting of capacitors. Approximately 30 gauge wirecan be soldered to the proximal portion of the board to traverse thelength of the catheter for making appropriate electrical connections.The distance between the power source and the sensor in a catheterdesign is inherently long and may be greater than 50 cm and as long as10 feet particularly if the power source must be kept out of the sterilefield. Because the sensor is capacitive and ratiometric, wherein thesensor output acceleration signal is proportional to the excitationsupply voltage at the sensor, the excitation supply voltage must be keptconstant at the sensor to avoid or minimize sensor output variations,erroneous signals, or significant deviations in signal quality, due toinput supply voltage fluctuations from environmental electromagneticinterference induced or coupled along the length of the catheter wires.To accomplish this, decoupling capacitors must be mounted in closeproximity to the sensor on the sensor board. In this catheter design thedecoupling capacitors for power are mounted adjacent to the sensor onthe printed circuit board in the catheter tip. Hence the capacitors mustbe of appropriate size and design for integration into the tip. Inaddition, capacitors are mounted adjacent to the sensor for eachacceleration output to band limit and filter the signal to the desiredfrequency range to prevent sensor self resonance from corrupting thetrue acceleration signals. An appropriately sized capacitor can beselected for each acceleration channel to limit the high frequencyresponse of the sensor to ensure high frequency oscillations from selfresonance can be effectively filtered out and eliminated.

The sensor and board can then be bonded into a polymeric tube with aguide wire lumen. A Y-connector at the proximal portion of the catheterwill allow guide wire lumen access and the wires from the sensor boardto be routed to a connector that interfaces with a power and signalconditioning unit. The signal conditioning unit receives the wires inelectrical communication with each axis of the sensor via the board. Inaddition, the unit provides power and ground to the sensor from a 9 Vbattery. The signal conditioning unit can filter the sensor signal toless than about 600 Hz, provide electrical isolation to meetendovascular catheter medical standards (e.g. current leakage less than10 microamperes), and convert the signal output to be compatible with anECG display. The signal conditioning unit also contains an ECG inputthat allows the acceleration signal to be synched with the ECG input forsimultaneous display of both the ECG and acceleration wave forms.

The catheter can placed into the coronary sinus of an animal from theright or left internal jugular or subclavian. A guide wire and guidecatheter may be used to facilitate cannulation of the coronary sinus.Alternatively, the acceleration catheter is of appropriate shape anddesign to cannulate the coronary sinus. Appropriate shapes have a curveor arc ranging from approximately 90 to 270 degrees with a radius ofapproximately 3-10 cm. In addition, the catheter preferably has aproximal brained section to improve torqueability and pushability. Theacceleration catheter can be placed over a standard 0.035 guide wireinto the coronary sinus to a position in the mid to lateral region ofthe sinus. The sensor may be maintained in about the same location. Aright ventricular pacing catheter or implantable pacing lead may bepositioned in to the RV and the location can be fixed. The pacingcatheter or implantable lead can be connected to one arm of a “Y”electrical connector to the output of an external pacing device. Theother arm of the Y connector attaches to preferably an LV pacing guidewire or pacing device. The LV pacing guide wire may have an electricallyuninsulated or conductive tip and proximal uninsulated or conductiveportion allowing electrical pacing pulses to be delivered by the wire tothe myocardium. The LV pacing guide wire can be maneuvered in thecoronary sinus and tributary veins of the LV through the lumen of theacceleration sensing catheter guide wire lumen or separately. Baselineacceleration signals are captured. The acceleration pattern can bedisplayed on an ECG or endocardial electrogram output or CRT deviceprogrammer. Biventricular or left ventricular test paces are deliveredto the heart from different locations on the LV. The pattern ofacceleration can be observed to identify a location that provides themost synchronous pattern. Alternatively numerical indices ofdyssynchrony can be determined and the location that gives the mostoptimal change in the numerical index can be identified. Once thedesired pacing location in the LV is identified the pacing guide wire isleft in that location. The implantable CRT LV pacing lead can then bemaneuvered over the wire and positioned in the optimal location.Subsequently, a series of timing intervals for the V-V timing betweenabout +40 ms to about −40 ms LV contraction to RV contraction can betried and the interval that gives the greatest improvements inacceleration patterns and numerical indices can be selected. Similarly,a series of A-V timing intervals from about 150 ms to about 300 ms cantried and the interval that gives the greatest improvements inacceleration patterns and numerical indices can be selected.

FIG. 57 shows a representative synchronous acceleration pattern of theleft ventricle from the coronary sinus from a 3-axis acceleration sensorplaced in the coronary sinus shown as composite (denoted as RMS on thefigure) of the three individual signals (FIG. 61 A,B,C shows eachindividual axis). The data in FIG. 57 show a 400 millisecond windowafter the peak of the R-wave on the ECG for the synchronous contraction.FIG. 58 shows a representative dyssynchronous contraction patternmeasured from a 3-axis acceleration sensor placed in the coronary sinusshown as a composite of the three individual signals (FIG. 62 A, B, Cshows each individual axis). The data in FIG. 58 show a 400 ms timewindow from the onset of the V-like wave on ECG after RV pacing for thedyssynchronous contraction. Finding the optimal pacing region and timingintervals may involve identifying a pacing region that produces a leftventricular contraction pattern more closely resembling a synchronous LVcontraction. The more optimal the pacing location, the more synchronousthe pattern of acceleration may appear. The location may be optimized bypacing from the right ventricle with a fixed electrode and pacing theleft ventricle simultaneously with a roving guide wire and observingchanges in the acceleration pattern (as outlined above). For example inFIG. 58 a large acceleration peak occurs at the end of the systolicphase just prior to and coincident with relaxation as determined by theT-wave. This delayed acceleration indicates dyssynchrony. A pattern ofacceleration peaks, measured from the coronary sinus, that includes atleast one substantial acceleration peak (e.g. greater than approximately⅓ the highest acceleration peak) occurring greater than 50 ms after theonset of electrical activity of the left ventricle/isovolumiccontraction, or mitral valve closure, may be indicative of global LVdyssynchrony. Elimination or reduction in this late acceleration throughbiventricular pacing or CRT has also correlated with a favorableresponse to CRT therapy. The LV pacing roving guide wire can bemaneuvered into different tributary veins and within a single tributaryvein through the lumen of the acceleration sensing catheter orindependently of it. Ideally the acceleration sensing catheter ismaintained in a nearly fixed location of the coronary sinus. Once anoptimal location is found the timing intervals including the V-V(interventricular) timing and A-V (atrioventricular) timing can beoptimized by running through a series of intervals and assessing thechanges to a more ideal contraction pattern. Similarly, the changes infrequency patterns can be assessed to determine improvements insynchrony. FIG. 59 and FIG. 60 show the power spectrum of the compositeacceleration signal (FIGS. 63 and 64 show the individual axes 63A, 63B,63C and 64A, 64B, and 64C). The frequency at which peak amplitude on thepower spectrum occurs increases with a more synchronous contraction. Itis useful to look at the frequency spectrum above 1-2 Hz or even 10 Hzdepending on the rate, to avoid analyzing the dominant frequency relatedto overall heart rate.

It may be more desirable to characterize an acceleration pattern withnumerical indices, which may be referred to as dyssynchrony indices.Numerical indices can be determined from acceleration patterns throughmicroprocessor based signal processing. In this way, improvements indyssynchrony can be monitored by assessing the changes in the numericalvalue (e.g. increase or decrease). The indices may be used to determineresponders to CRT therapy. More than one index may be combined to betterassess numerical changes and identify improved dyssynchrony, includingthresholds that may indicate a response to the therapy. The accelerationpattern can be processed by a microprocessor, with appropriatealgorithms or instructions, to compute the indices from the accelerationpattern or waveform. Instructions may be stored on computer readablemedium. The microprocessor may be incorporated into the signalconditioning module or may be in an external microprocessor device thatthe signal conditioning module outputs to. The processing instructionsof the pattern to compute one or more dyssynchrony indices may involvenormalizing the acceleration signals by subtracting out the averagesignal for each axes, phase averaging of the measured accelerationsignals, correction for gravity, computing the composite accelerationsignal from multiple acceleration axes, detecting the peak (s) of theacceleration signal (s), detecting the peak of the ECG signals,computing time intervals, and calculating the variability of the timeintervals. The processing may also involve performing Fourier transformsand generating frequency spectrums.

There are several numerical indices that can be measured to assessdyssynchrony that can be ascertained from FIGS. 57-64. The accelerationsignal may be integrated once or twice to determine velocity ordisplacement and the analogous indice for these measurements may beutilized. Representative examples of dyssynchrony indices include thefollowing. First is the time delay from onset of ventricular electricalactivity (e.g. peaks of the QRS complex or onset of QRS components suchas R wave or S) to onset of motion, acceleration, velocity, ordisplacement of the LV during systole (e.g., systole may determined asthe time between QRS onset and the T-wave on ECG or by mitral valveclosure/isovolumic contraction as discussed above as measured by theacceleration sensor).

Second is the time delay from onset of ventricular electrical activity(e.g., peaks of the QRS complex or onset of QRS components such as Rwave or S) to peak motion, acceleration, velocity, or displacement ofthe LV during systole (e.g., systole may determined as the time betweenQRS onset and the T-wave on ECG or by valve mitral valveclosure/isovolumic contraction as discussed above as measured by theacceleration sensor).

Third is the time delay from onset of ventricular electrical activity(e.g., peaks of the QRS complex or onset of QRS components such as Rwave or S) to the onset of motion, acceleration, velocity, ordisplacement of the LV during diastole (e.g. diastole may be determinedas the time after the T-wave on ECG or by aortic valveclosure/isovolumic relaxation as determined by the sensor).

Fourth is the time delay from onset of ventricular electrical activity(e.g., peaks of the QRS complex or onset of QRS components such as Rwave or S) to peak motion, acceleration, velocity, or displacement ofthe LV during diastole (e.g., diastole may be determined as the timeafter the T-wave on ECG or by aortic valve closure/isovolumic relaxationas determined by the sensor).

Fifth is the ratio of the peak motion, acceleration, velocity, ordisplacement, during systole and diastole.

Sixth is the time interval between the peak motion acceleration,displacement, or velocity of systole and diastole (shorter the timeinterval the greater the dyssynchrony).

Seventh is the number of motion peaks during systole greater than athreshold (e.g. 100 or 200 milli gs or some proportion, such asapproximately 30% to 50%, of the largest peak).

Eighth is the time delay between two highest peaks motion, acceleration,velocity, or displacement during systole (larger delay between peakscorrelates with dyssynchrony).

Ninth is the variability (e.g. standard deviation) of time delay fromonset of ventricular electrical activity (e.g. peaks of the QRS complexor onset of QRS components such as R wave or S) to peak motions,acceleration, velocity, or displacement in each acceleration axis (X, Y,or Z)

Tenth is the variability (e.g. standard deviation) of peak motion,acceleration, velocity, or displacement in each independent axis (X, Y,or Z).

Eleventh is the reduction in the peak acceleration (milli gs) of delayedcontraction/acceleration.

Twelfth is the frequency of peak amplitude of power spectrum abovethreshold (e.g. greater than 4 or 8 Hz).

Thirteenth is the acceleration axis with the dominant frequency(indicating a shift in the orientation of the motion).

Fourteenth are the cross correlations of time-frequency transformsbetween ECG signal and acceleration signals or between differentacceleration signal axes. Cross correlations would indicate the requiredshift in frequency or time required to synchronize two differentfrequency spectra.

Data from these indices is provided in the table below demonstrate thedifferentiation of dyssynchrony and synchrony using some of the aboveindices. Indices of Dyssynchrony Synchronous Dyssynchronous 1. Timedelay to peak acceleration 51 ms 155 ms 3. Number of peaks >200 m gs 3peaks 6 peaks 4. Time delay between 2 highest peaks 14 ms 135 ms 5.Standard deviation peak acceleration 5 ms 79 ms    each axis X, Y, & Z6. Frequency peak power spectrum 22 Hz 15 Hz    >10 Hz 7. Channel withpeak power spectrum Channel 3 Channel 2    >10 Hz

Time frequency transforms (FIGS. 65 and 66) may also be used tocharacterize synchrony and dyssynchrony and to develop indices for thesestates. In particular, FIG. 65 illustrates synchronous contraction(normal sinus rhythm), showing dominant vibrational energies duringisovolumic contraction (IVC) or systole or after onset of ventricularelectrical activity and isovolumic relaxation (WR) or after T-wave ofECG. Peak IVC frequency is approximately 60 Hz and peak IVR frequency isgreater than 120 Hz. Time to peak vibrational energy is less than 20 ms(approximately 12 ms). Low frequency vibrational energy just prior toIVC is consistent with atrial contraction. The dashed line indicatesonset of ventricular electrical activity (R-wave).

FIG. 66 illustrates dyssynchronous contraction (RV pacing induced). Lossof vibrational energy may be seen during isovolumic relaxation,especially at frequencies above 100 Hz. Widely dispersed (20 to 100 Hz)vibrational frequencies are seen during isovolumic contraction or afteronset of ventricular electrical activity. Time to peak vibrationalenergy is greater than 20 ms (approximately 32 ms). Loss of lowfrequency vibrational energy is seen due to atrial contraction. Thedashed line indicates onset of ventricular electrical activity.

One method used to characterize synchrony and dyssynchrony and todevelop indices for these states may be ECG-locked spectralperturbation. The accelerometer data are first aligned to event (e.g.,R-wave of ECG) onsets. The power spectrum is then computed over asliding latency window and average across the resultant spectralinformation from multiple heart beats. In the ECG spectral change image,the color at each time/frequency image pixel then indicates power (indB) at a given frequency and latency relative to the time locking event.Typically, for n trials, if F_(k) (f, t) is the spectral estimate oftrial k at frequency f and trial latency t, then${{ECGSP}\left( {f,t} \right)} = {\frac{1}{n}{\sum\limits_{k = 1}^{n}\quad{\left( {F_{k}\left( {f,t} \right)} \right)^{2}.}}}$To compute F_(k) (f, t), a short-time Fourier transform, a sinusoidalwavelet transform (i.e., a short-time discrete Fourier transform),wavelet, or a Slepian multitaper decomposition (Thompson, 1982) may beused. Differences between these decompositions as applied toaccelerometer/ECG data may be small (though the number of cycles in eachdata window may be critical).

Patterns of time frequency transforms during synchronous contractionindicate a peak frequency energy of about 50 to 60 Hz occurring within15 milliseconds of the onset of ventricular electrical activity (R-waveor systole or at isovolumic contraction) on the on the surface ECG.These higher energy (>about 5-10 dB) frequencies are primarily seen inthe longitudinal and radial axes (Channels 1 & 3) of the accelerometer,with very little higher energy frequencies in these ranges seen in theY-axis (Channel 2). During relaxation (after the T-wave on the ECG andisovolumic relaxation), there are higher energy frequencies that occurabove 100 Hz and are present in all three axes of the accelerometer(Channels 1, 2 & 3). Numerical indices may be derived based on thesetime-frequency plots, which characterize a synchronous contraction.

During a dyssynchronous contraction, there is a wide dispersion offrequency energy ranging from 20 Hz to 100 Hz occurring within about 30to 35 milliseconds after the onset of ventricular electrical activity(R-wave) on the surface. ECG. There is loss of higher energy frequenciesoccurring during relaxation (after the T-wave on ECG) and a completeloss of these frequencies above 100 Hz. Improvements in dyssynchronyassociated with pacing (biventricular or left ventricular) may beassessed by monitoring the return of higher frequencies duringrelaxation, a reduction in the time to peak frequency energy, and areduction in the dispersion or variability of frequency energy duringsystole or after onset of ventricular electrical activity. In addition,numerical indices may be derived based on these time-frequency plots,which would allow the assessment of an improvement in dyssynchrony withpacing. Other features and characteristics that distinguish dyssynchronyand synchrony may be ascertained by review of FIGS. 65 and 66. Interheart beat coherence may also be analyzed to assess synchrony (see FIGS.67 and 68). FIG. 67 illustrates inter heart beat coherence synchronouscontraction (normal sinus rhythm). Coherence is present at greater than100 Hz during the systole or isovolumic contraction phase. Time to peakcoherence is approximately 12 ms. The dashed line indicates the onset ofventricular electrical activity. FIG. 68 illustrates inter heart beatcoherence dyssynchronous contraction (RV pacing induced). Loss of interheart beat coherence is seen above approximately 100 Hz for systole orimmediately after onset of ventricular electrical activity or theisovolumic contraction phase. Time to peak coherence is approximately 32ms. The dashed line indicates onset of ventricular electrical activity.

Inter acceleration axes, or acceleration sensor channel, coherence mayalso be analyzed. Coherence is the property of wave-like states thatenables them to exhibit interference. It is also the parameter thatquantifies the quality of the interference (also known as the degree ofcoherence). It was originally introduced in connection with Young'sdouble-slit experiment in optics but is now used in any field thatinvolves waves, such as acoustics, electrical engineering, and quantumphysics. In interference, at least two wave-like entities are combinedand, depending on the relative phase between them, they can addconstructively or subtract destructively. The degree of coherence isequal to the interference visibility, a measure of how perfectly thewaves can cancel due to destructive interference.

Waves of different frequencies (in light these are different colors) caninterfere to form a pulse if they have a fixed relativephase-relationship (see Fourier transform). Conversely, if the waves ofdifferent frequencies are not coherent then when combined they create awave that is continuous in time (e.g., white light or white noise). Thetemporal duration of the pulse Δt is limited by the spectral bandwidthof the light Δf according to:ΔfΔt≧1which follows from the properties of the Fourier transform (for quantumparticles it also follows from the Heisenberg uncertainty principle.

If the phase depends linearly on the frequency (i.e., θ(f) ∝f) then thepulse will have the minimum time duration for its bandwidth (atransform-limited pulse), otherwise it is chirped (see dispersion).

Inter-heartbeat Coherence (IHC), or more precisely inter-heartbeat phasecoherence (IHPC), measures the partial or complete reliability ofspectral phase at a particular frequency and latency across a set oftrials. This measure was introduced in EEG literature by Tallon-Baudryet al. (1996) as the ‘phase locking factor.’ The term ‘inter-trialcoherence’ refers to its interpretation as the event-related phasecoherence between recorded EEG activity and an event indicator function(e.g., a Dirac or cosine function centered on the time-locking events).Using the same notation as above${{IHPC}\left( {f,t} \right)} = {\frac{1}{n}{\sum\limits_{k = 1}^{n}\frac{F_{k}\left( {f,t} \right)}{{F_{k}\left( {f,t} \right)}}}}$where ∥ represents the complex norm.

Synchronous contraction is associated with the presence of inter heartbeat coherence during systole (isovolumic contraction or immediatelyafter onset of ventricular electrical activity) at frequencies greaterthan about 80 to 100 Hz. The time to peak coherence occurs within about15 milliseconds. Dyssynchronous contraction is associated with a loss ofinter heart beat coherence at frequencies greater than about 80 to 100Hz and a delayed time to peak coherence to greater than about 30milliseconds. Improvements in dyssynchrony associated with pacing(biventricular or left ventricular) may be assessed by monitoring areturn of coherence in the higher frequencies and/or a reduction in thetime to peak coherence. Other features and characteristics thatdistinguish dyssynchrony and synchrony may be ascertained by review ofFIGS. 67 and 68. Numerical indices may also be derived from thecoherence analysis, which would allow the assessment of an improvementin dyssynchrony with pacing. Inter accelerometer axis coherence may alsodistinguish synchrony from dyssynchrony and allow assessments ofimprovement with pacing.

Indices related to dyssynchrony which may be derived from time frequencytransforms and coherence analysis include: dispersion of or variabilityof frequency energy during systole, isovolumic contraction, or followingonset of ventricular electrical; time to peak frequency and energysystole during systole, isovolumic contraction, or following onset ofventricular electrical; magnitude or presence of frequency energy duringrelaxation or following the T-wave on ECG; shift in acceleration sensoraxis with peak frequency energy; loss of higher frequency inter heartbeat coherence (e.g. greater than about 80 Hz); and reduced interaccelerometer axis coherence.

Monitoring changes in these indices may indicate a more synchronousheart function during treatment such as pacing. For example, a reductionin the dispersion of frequency energy may indicate better dyssynchrony.

Gathered or acquired information of a subject is mathematicallyprocessed so as to identify relationships among the multiple variablesthat correlate with predefined classes. Once such relationships (alsoreferred to as patterns, classifiers, or fingerprints) have beenidentified, they can be used to predict the likelihood that a subjectbelongs to a particular class represented in the population used tobuild the relationships. In practice, a large set of information, termedthe training or development dataset, is collected and used to identifyand define diagnostic patterns that are then used to prospectivelyanalyze the acquired information of subjects that are members of thetesting, validation, or unknown dataset and that were not part of thetraining dataset to suggest or provide specific information about suchsubjects.

There are a number of data analysis methods that have been implementedand documented with application to disease recognition. Analysis methodsfall under the headings of data mining, information retrieval, patternrecognition, clustering, classification, statistical analysis, machinelearning and other artificial intelligence techniques, and discriminatoranalysis to name a few. Preferably, signal processing techniques areapplicable to correlate specific traits with a known or unknown diseasemarker. Within those methods, particular algorithms that are known tothose of skill in the art and that have been employed include k-means,k-nearest neighbors, artificial neural networks, t-test hypothesistesting, genetic algorithms, self organizing maps, as well as principalcomponent regression. See, for example, Duda et at, 2004, PatternClassification, John Wiley & Sons, Inc.; Hastie et al., 2001, TheElements of Statistical Learning: Data Mining, Inference, andPrediction, Springer, New York; and Agresti, 1996, An Introduction toCategorical Data Analysis, John Wiley & Sons, New York, Russell &Norvig, 2004, Artificial Intelligence: A Modern Approach, Prentice Hall;2^(nd) edition; each which are hereby incorporated by reference in theirentirety. The manner in which these building-block algorithms areimplemented and combined can vary significantly. Different methods canbe more effective for different types of multivariate data or fordifferent types of classification (e.g., diagnostic vs. prognostic).

Methods for disease recognition or correlation utilizing the abovemethods have been documented in various references. See, for example,Hitt, “Heuristic Method of Classification,” United States PatentPublication No. 2002/0046198, published Apr. 18, 2002; Hitt et al.,“Process for discriminating between biological states based on hiddenpatterns from biological data,” United States Patent Publication No.2003/0004402, published Jan. 2, 2003; Petricoin et al., 2002, “Use ofproteomic patterns in serum to identify ovarian cancer,” Lancet 359, pp.572-7, Lilien et al., 2003, “Probabilistic Disease Classification ofExpression-Dependent Proteomic Data from Mass Spectrometry of HumanSerum,” Journal of Computational Biology, 10, pp. 925-946; Zhu et al.,2003, “Detection of cancer-specific markers amid massive mass spectraldata,” Proceedings of the National Academy of Sciences 100, pp.14666-14671; and Wang et al., 2003 “Spectral editing and patternrecognition methods applied to high-resolution magic-angle spinning 1Hnuclear magnetic resonance spectroscopy of liver tissues,” AnalyticBiochemistry 323, pp. 26-32; each of which is hereby incorporated byreference in its entirety.

Specifically, Hitt et al. “Process for discriminating between biologicalstates based on hidden patterns from biological data,” United StatesPatent Publication No. 2003/0004402, published Jan. 2, 2003 disclose amethod whereby a genetic algorithm is employed to select feature subsetsas possible discriminatory patterns. In this method, feature subsets areselected randomly at first and their ability to correctly segregate thedataset into known classes is determined. As further described inPetricoin et al., 2002, “Use of proteomic patterns in serum to identifyovarian cancer,” Lancet 359, pp. 572-7, the ability or fitness of eachtested feature subset to segregate the data is based on an adaptivek-means clustering algorithm. However, other known clustering meanscould also be used. At each iteration of the genetic algorithm, featuresubsets with the best performance (fitness) are retained while othersare discarded. Retained feature subsets are used to randomly generateadditional, untested combinations and the process repeats using theseand additional, randomly generated feature subsets.

1. A device for measuring cardiac dyssynchrony, comprising: a. acatheter having a tubular polymeric outer lumen configured for accessingthe coronary sinus, the lumen having a proximal end and a distal end,such that when installed in a patient the distal end resides in thecoronary sinus; b. a second tubular polymeric lumen for receiving aguide wire; c. an acceleration sensor disposed at the distal end of theouter lumen; and d. at least one decoupling capacitor adjacent to saidacceleration sensor.
 2. A device of claim 1, further comprising a guidewire, wherein said guide wire has an electrically conductive tip.
 3. Adevice of claim 1 wherein said configuration includes a curve of 90degrees or greater.
 4. A device of claim 1 wherein said sensor issurface mounted in the distal catheter region to a circuit board.
 5. Adevice of claim 1 wherein said decoupling capacitor is surface mountedin the distal catheter region to a circuit board.
 6. A device of claim 1wherein said sensor measures 3 different axes of acceleration.
 7. Adevice of claim 1, wherein said sensor is a capacitive type sensor.
 8. Adevice of claim 1, further comprising a microprocessor.
 9. A device ofclaim 1, wherein said microprocessor is programmed to computedyssynchrony indices from acceleration signals.
 10. A device of claim 1wherein said device measures global dyssynchrony of the left ventricle.11. A system for measuring dyssynchrony, comprising: a. a catheter withan acceleration sensor mounted in the distal region of the catheter; b.a pacing device; c. a microprocessor, said microprocessor programmed toconvert acceleration patterns into one or more dyssynchrony indices; andd. a display for showing acceleration patterns or dyssynchrony indices.12. A system of claim 11, wherein said catheter is configured such thatthe catheter can access the coronary sinus.
 13. A system of claim 11,wherein said acceleration sensor measures acceleration in 3 axes.
 14. Asystem of claim 11, wherein said catheter further comprises a lumen forreceiving a guide wire.
 15. A system as described in claim 11, whereinsaid pacing device is a pacing guide wire.
 16. A system as described inclaim 11, wherein the microprocessor is programmed to produce a phaseaverage of acceleration and ECG signals.
 17. A system as described inclaim 11, wherein the microprocessor is programmed to identify the peakacceleration and a QRS component of the ECG of the phased averagedsignals.
 18. A system as described in claim 11, wherein themicroprocessor is programmed to perform Fourier transformation ofacceleration signals.
 19. A system of claim 11 wherein said dyssynchronyindices include one or more of the following: Time delay from onset ofventricular electrical activity to onset of LV motion during systole;Time delay from onset of ventricular electrical activity to peak LVmotion during systole; Time delay from onset of ventricular electricalactivity to onset of LV motion during diastole; Time delay from onset ofventricular electrical activity to peak LV motion during diastole; Theratio of the peak motion during systole and diastole; The time intervalbetween the peak motion of systole and diastole; Number of motion peaksduring systole greater than a threshold; Time delay between two highestpeaks of motion during systole; Variability of time delay from onset ofventricular electrical activity to peak motion in each acceleration axis(X, Y, or Z); Variability of peak motion in each independent axis (X, Y,or Z); Reduction in the peak acceleration of delayed motion; Frequencyof peak amplitude of power spectrum; The acceleration axis with thedominant frequency in power spectrum Cross correlations oftime-frequency transforms between ECG signal and acceleration signals orbetween different acceleration signal axes.
 20. A method for measuringcardiac dyssynchrony, comprising: a. placing one 3-axis accelerationsensor for disposition within a patient's coronary sinus; b. whereinsaid sensor measures the global acceleration of the left ventricle; c.and wherein said measured acceleration forms a pattern indicative ofglobal dyssynchrony of the left ventricle.
 21. A method of claim 20,further comprising: a. converting said acceleration pattern into anumerical or dyssynchrony index; b. wherein said numerical ordyssynchrony indices may include one or more of the following: Timedelay from onset of ventricular electrical activity to onset of LVmotion during systole; Time delay from onset of ventricular electricalactivity to peak LV motion during systole; Time delay from onset ofventricular electrical activity to onset of LV motion during diastole;Time delay from onset of ventricular electrical activity to peak LVmotion during diastole; The ratio of the peak motion during systole anddiastole; The time interval between the peak motion of systole anddiastole; Number of motion peaks during systole greater than athreshold; Time delay between two highest peaks of motion duringsystole; Variability of time delay from onset of ventricular electricalactivity to peak motion in each acceleration axis (X, Y, or Z);Variability of peak motion in each independent axis (X, Y, or Z);Reduction in the peak acceleration of delayed motion; Frequency of peakamplitude of power spectrum; The acceleration axis with the dominantfrequency in power spectrum Cross correlations of time-frequencytransforms between ECG signal and acceleration signals or betweendifferent acceleration signal axes.
 22. A computer-readable medium,containing instructions for causing a computer to carry out the methodof claim
 21. 23. A method for identifying an optimal pacing location,comprising: a. introducing an acceleration-measuring catheter into thecoronary sinus of a patient; b. measuring a baseline pattern of leftventricular myocardial acceleration; c. placing a right ventricularpacing device in the right ventricle; d. placing a left ventricularpacing device in or on the left ventricle; e. moving the leftventricular pacing device to a plurality of locations in or on the leftventricle; f. performing biventricular or left ventricular pacing at theplurality of locations with the left ventricular pacing device; g.measuring the acceleration pattern with biventricular or leftventricular pacing; h. determining a location of the left ventricle witha less dyssynchronous acceleration pattern; and i. selecting the lessdyssynchronous location to implant a CRT pacing lead.
 24. The method ofclaim 23 further comprising converting said acceleration pattern intoone or more dyssynchrony indices.
 25. A computer-readable medium,containing instructions for causing a computer to carry out the methodof claim
 24. 26. A method of claim 23 further comprising moving saidright ventricular pacing device to a plurality of locations in the rightventricle and measuring dyssynchrony at the plurality of locations. 27.A method of claim 26 further comprising implanting a right ventricularpacing lead in a location with a less dyssynchronous accelerationpattern or numerical index.
 28. A method for optimizing the V to V and Ato V timing intervals, comprising: a. introducing anacceleration-measuring catheter into the coronary sinus of a patient; b.measuring a baseline pattern of left ventricular myocardialacceleration; c. placing a right ventricular pacing device in the rightventricle; d. placing a left ventricular pacing device in or on the leftventricle; e. moving the left ventricular pacing to a plurality oflocations in or on the left ventricle; f. performing biventricularpacing at the plurality of locations of the left ventricular pacingcatheter; g. measuring the acceleration pattern with biventricularpacing; h. determining the location of pacing in or on the leftventricle with a less dyssynchronous acceleration pattern; i. selectingthe less dyssynchronous location to implant a CRT pacing lead; j.varying the V to V timing intervals between a range of milliseconddelays and selecting the timing that produces a less dyssynchronousacceleration pattern.
 29. A method of claim 28 further comprising usingthe acceleration pattern to determine one or more dyssynchrony indices.30. A method of claim 28, further comprising varying the A to V timinginterval within a range and selecting the timing that produces a lessdyssynchronous acceleration pattern.
 31. A method for improving theoutcome of CRT, comprising: a. placing a catheter with an accelerationsensor in the coronary sinus; b. diagnosing the presence of dyssynchronyby measuring an acceleration pattern that characterizes dyssynchrony; c.inserting a pacing guide wire; d. test pacing with said pacing guidewire a plurality of locations in or on the left ventricle; e.identifying locations with a less dyssynchronous acceleration patternthan that found in step b; and f. implanting a left ventricular lead insaid identified location.
 32. The method of claim 31, wherein theacceleration sensor includes three acceleration axes.
 33. The method ofclaim 30, further comprising using said acceleration pattern to deriveone or more dyssynchrony indices.
 34. A method of claim 32 furthercomprising deriving dyssynchrony indices from said accelerationpatterns.
 35. A computer-readable medium, containing instructions forcausing a computer to carry out the method of claim
 34. 36. A method formeasuring cardiac dyssynchrony, comprising: g. placing a 3-axisacceleration sensor for disposition within a patient's coronary sinus;h. measuring the global acceleration of the left ventricle with thesensor; i. creating a time-frequency transform; and j. using frequencyor frequency energy data from said time-frequency transform tocharacterize dyssynchrony.
 37. A method for measuring cardiacdyssynchrony, comprising: k. placing a 3-axis acceleration sensor fordisposition within a patient's coronary sinus l. measuring the globalacceleration of the left ventricle with the sensor; m. using theacceleration data to create a measure of coherence; and n.characterizing dyssynchony using the coherence.